CN110647692A - Multidimensional travel data monitoring and presenting method based on big data - Google Patents
Multidimensional travel data monitoring and presenting method based on big data Download PDFInfo
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Abstract
The invention discloses a multidimensional text travel data monitoring and presenting method based on big data, which comprises the following steps: s1, acquiring travel data of the target area, wherein the travel data comprise industrial target position information, industrial target consumption information and network public opinion information; s2, marking the industrial targets on the electronic map by the corresponding type of identifiers based on the position information of the industrial targets, wherein each type of industrial targets is preset with the corresponding identifiers; and S3, when any mark is selected, displaying the industry target consumption information and the network public opinion information corresponding to the mark on the detailed information display window. The method of the invention can monitor the dynamic state of the travel industry and visually present the characteristics of the travel industry.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a multidimensional travel data monitoring and presenting method based on big data.
Background
In the big data era, the culture and tourism career is an important career about the national civilization and the happy life of people, the guidance of data is urgently needed, and the culture and the tourism are complex huge systems, and the data system of the complex huge system is very necessary to realize the common presentation of multi-dimensional data. However, most of the existing big data systems are based on single big data and cannot fully present the characteristics of the travel industry.
Therefore, the invention discloses a multidimensional travel data monitoring and presenting method based on big data, which can monitor the dynamics of the travel industry and visually present the characteristics of the travel industry.
Disclosure of Invention
Aiming at the defects in the prior art, the problems to be solved by the invention are as follows: how to carry out the all-round monitoring to the literary and tourism industry developments of target area.
A multidimensional text travel data monitoring and presenting method based on big data comprises the following steps:
s1, acquiring travel data of the target area, wherein the travel data comprise industrial target position information, industrial target consumption information and network public opinion information;
s2, marking the industrial targets on the electronic map by the corresponding type of identifiers based on the position information of the industrial targets, wherein each type of industrial targets is preset with the corresponding identifiers;
and S3, when any mark is selected, displaying the industry target consumption information and the network public opinion information corresponding to the mark on the detailed information display window.
Preferably, the method further comprises the following steps:
when any identifier is selected, applying a distribution display effect to all industrial targets of the type to which the industrial target corresponding to the identifier belongs on the electronic map, wherein the mode of applying the distribution display effect comprises the steps of connecting the industrial target with the similar industrial target adjacent to the industrial target by lines, applying a halo effect to the identifiers of all the similar industrial targets, and increasing the halo brightness of the area with higher density of the similar industrial target, or encircling the similar industrial target by a semi-transparent display frame with the color corresponding to the type of the industrial target, wherein when the distance between any two similar industrial targets is within a preset distance, the two similar industrial targets are in the same semi-transparent display frame.
Preferably, the method further comprises the following steps:
the industrial target consumption information comprises activity information, the detailed information display window comprises an activity display area, the total times of activities within a preset time limit, the performed activity information and the non-performed activity information are respectively displayed in the activity display area, and the activity information comprises any one or more of an activity name, an activity type, activity time, a ticket price and a residual ticket number.
Preferably, the method further comprises the following steps:
and generating target region text travel index evaluation information based on the text travel data, wherein the text travel indexes comprise primary indexes, secondary indexes and tertiary indexes, the primary indexes correspond to one or more secondary indexes, and each secondary index corresponds to one or more tertiary indexes.
Preferably, the method for calculating each level of index comprises:
acquiring the weight of each index and the travel data;
calculating the value of the corresponding third-level index based on standard travel data obtained after the travel data extreme difference standardization processing and the corresponding weight;
calculating the value of the corresponding secondary index based on the value of the tertiary index and the corresponding weight;
calculating the value of the corresponding primary index based on the value of the secondary index and the corresponding weight;
when the travel data is positively correlated with the corresponding index, based on the formula Xi'j＝(Xij-Xjmin)/(Xjmax-Xjmin) The travel data is subjected to extreme standardization processing, and when the travel data is negatively correlated with the corresponding index, the travel data is based on a formula Xi'j＝(Xjmax-Xij)/(Xjmax-Xjmin) Subjecting the travel data to extreme standardization, wherein X isi'jStandard travel data obtained after the jth travel data range of the ith target area is subjected to extreme standardization processing, XijJ-th travel data for i-th target area, XjminIs the minimum value, X, in the jth travel datajmaxIs the maximum value in the jth travel data.
Preferably, the display interface includes an electronic map, and further includes an industry dynamic tag, when the industry dynamic tag is selected, the display interface is switched to the industry dynamic display interface, the industry dynamic display interface includes a tourism complaint display area, a tourism complaint analysis area, and a tourism public monument analysis area, the network public opinion information includes tourist evaluation information and tourist complaint information, and the multidimensional travel data monitoring and presenting method based on big data further includes:
displaying the complaint information of the tourists in the tourism complaint display area;
generating travel complaint analysis information based on the tourist complaint information and displaying the travel complaint analysis information in a travel complaint analysis area;
and generating travel public praise analysis information based on the tourist evaluation information and the tourist complaint information and displaying the travel public praise analysis information in the travel public praise analysis area.
Preferably, the tourism complaint display area comprises an area data display area, an industry data display area, a complaint trend display area and a final result display area, and the displaying of the tourist complaint information in the tourism complaint display area comprises:
displaying the total number of complaints of a target area in an area data display area, dividing the target area into a plurality of sub-areas, and sequencing and displaying the total number of the complaints of each sub-area;
in the industry data display area, sequencing and displaying the total number of complaints of the target area and/or each industry target in each sub-area;
in the complaint trend display area, taking preset duration as a period, counting the total complaint quantity in each period and displaying the complaint quantity in a chart or a table;
in the final result display area, final time limit occupation ratio information and final result occupation ratio information of the complaint information of the tourists are counted and displayed, the time limit occupation ratio comprises an overdue period and a non-overdue period, and the final result comprises returned, handed over, no acceptance, self-settlement, successful adjustment, failed adjustment and quality assurance complete compensation.
Preferably, the tourism complaint analysis area comprises a regional data display area, a complaint trend display area, a complaint information real-time rolling area, a complaint category analysis area and an acceptance statistical area, and the generation of the tourism complaint analysis information based on the tourist complaint information and the display in the tourism complaint analysis area comprises:
displaying the total number of complaints of a target area in an area data display area, dividing the target area into a plurality of sub-areas, and sequencing and displaying the total number of the complaints of each sub-area;
in the complaint trend display area, taking preset duration as a period, counting the total complaint quantity in each period and displaying the complaint quantity in a chart or a table;
scrolling and displaying the latest guest complaint information in a complaint information real-time scrolling area;
and classifying and counting the complaint information of the tourists according to any one or more of the sex, age group and complaint problem of the complaining tourists and the origin of the complaining tourists, displaying classification results in sequence, counting and displaying the total complaint amount of each period by taking the preset time length as a period when the classification result of any type is selected, and displaying the total complaint amount of each period by using the situation of a graph or a table.
Preferably, the travel public praise analysis area comprises a public praise overview area, an industry target red praise area, an industry target black praise area, an industry target positive hot-word area, an industry target negative hot-word area and an evaluation trend area, the industry target positive hot-word area is arranged corresponding to the industry target red praise area, the industry target negative hot-word area is arranged corresponding to the industry target black praise area, and the travel public praise analysis information is generated based on the tourist evaluation information and the tourist complaint information and displayed in the travel public praise analysis area, wherein the travel public praise analysis area comprises:
in a public praise overview area, counting the number of good comments, the number of medium comments and the number of bad comments, as well as the good comment proportion, the medium comment proportion and the bad comment proportion in the tourist evaluation information, and displaying the total number of the tourist evaluation information, the total number of the good comments, the total number of the medium comments and the total number of the bad comments, as well as the corresponding good comment proportion, the medium comment proportion and the bad comment proportion, as well as the number of the tourist evaluation information, the number of the good comments, the number of the medium comments and the bad comment proportion, as well as the corresponding good comment proportion, the medium comment proportion and the bad comment proportion in the tourist evaluation information in the public praise overview area by taking a preset time length as a period;
in the industry target red list area, respectively calculating scores of various industry targets based on the good rating proportion, the poor rating proportion and the number of the complaint information of the tourists in the tourist evaluation information corresponding to the industry targets, and displaying the scores in a descending order;
extracting front hot words in visitor evaluation information corresponding to the industrial target in an industrial target front hot word area, and displaying the front hot words in sequence;
in the industry target blacklist area, ranking and displaying scores of various industry targets in a descending order;
in the industry target negative hot word evaluation area, extracting negative hot words in the tourist evaluation information corresponding to the industry target, and displaying the negative hot words in sequence;
in the evaluation trend area, the number of tourist evaluations, the number of good reviews, the number of medium reviews and the number of bad reviews in each period are displayed in a form of a graph or a table by taking the preset time length as the period.
In summary, the present invention discloses a method for monitoring and presenting multidimensional travel data based on big data, which comprises: s1, acquiring travel data of the target area, wherein the travel data comprise industrial target position information, industrial target consumption information and network public opinion information; s2, marking the industrial targets on the electronic map by the corresponding type of identifiers based on the position information of the industrial targets, wherein each type of industrial targets is preset with the corresponding identifiers; and S3, when any mark is selected, displaying the industry target consumption information and the network public opinion information corresponding to the mark on the detailed information display window. The method of the invention can monitor the dynamic state of the travel industry and visually present the characteristics of the travel industry.
Drawings
Fig. 1 is a flowchart of an embodiment of a method for monitoring and presenting multidimensional travel data based on big data according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the invention discloses a multidimensional travel data monitoring and presenting method based on big data, comprising:
s1, acquiring travel data of the target area, wherein the travel data comprise industrial target position information, industrial target consumption information and network public opinion information;
in the invention, after the travel data is acquired, the storage positions of different data are provided with fixed bar code regulations, the logic matching and the preliminary arrangement of various data are carried out, and the internal interaction and the sequencing can be simultaneously carried out on each database while the grading processing is carried out.
The Chinese travel data can be acquired from various main portal websites, e-commerce platforms, ticket selling platforms and the like, and specific data capture is the prior art and is not described herein again. Industrial targets include scenic spots, lodging places, dining places, leisure and recreation places, public service places, and the like.
S2, marking the industrial targets on the electronic map by the corresponding type of identifiers based on the position information of the industrial targets, wherein each type of industrial targets is preset with the corresponding identifiers;
for different types of industrial targets, different shapes or colors of representation forms can be set and marked on corresponding positions of the electronic map.
And S3, when any mark is selected, displaying the industry target consumption information and the network public opinion information corresponding to the mark on the detailed information display window.
In the invention, after the travel data is acquired, for the convenience of subsequent processing, the following steps of preprocessing can be firstly carried out:
and (4) data cleaning, namely cleaning data based on a big data technology and filtering invalid information.
And (3) data screening, namely processing and filtering the whole data according to the set weight, and then continuously optimizing the quota of the algorithm by using a machine learning mode on the basis, accelerating the screening precision and improving the identification rate.
And (3) data classification, namely classifying the data by corresponding plates in a set statistical period, and matching and classifying the data for the attribute of the tourism industry.
In order to facilitate the user to roughly know the travel situation of the whole area when the user preliminarily checks, the industry target consumption information and the network public opinion information are not displayed when no mark is selected, and the industry target consumption information and the network public opinion information are displayed through a special detailed information display window only when the mark is selected. In the invention, a detailed information display window can be additionally arranged outside the display area of the electronic map, and the detailed information display window can be popped up beside the mark when the mark is selected.
The display of various information of the invention can be realized on the intelligent terminal through software by the prior art means, and the specific implementation mode is not repeated herein.
Aiming at the problem that the main data sources of the prior art platform are single and independent, the invention aims to provide a multidimensional travel data monitoring and presenting method based on big data, which can monitor the dynamics of the travel industry and present the characteristics of the travel industry in an all-round way.
When the concrete implementation, still include:
when any identifier is selected, applying a distribution display effect to all industrial targets of the type to which the industrial target corresponding to the identifier belongs on the electronic map, wherein the mode of applying the distribution display effect comprises the steps of connecting the industrial target with the similar industrial target adjacent to the industrial target by lines, applying a halo effect to the identifiers of all the similar industrial targets, and increasing the halo brightness of the area with higher density of the similar industrial target, or encircling the similar industrial target by a semi-transparent display frame with the color corresponding to the type of the industrial target, wherein when the distance between any two similar industrial targets is within a preset distance, the two similar industrial targets are in the same semi-transparent display frame.
In the invention, after a certain mark of a certain type of industrial target is selected, the distribution display effect is applied to the industrial target marks, so that a user can intuitively know the distribution condition of various industrial targets in a target area.
By adopting the distribution display effect, a user can visually know the positions, the quantity and the distribution condition of various types of industrial targets in the target area through the images. In addition, the different display modes according to the different densities can enable a user to have an intuitive understanding of the density distribution of the industrial target. By adopting the semi-transparent display frames, when two similar industrial targets are far away, the two similar industrial targets are in different semi-transparent display frames, so that a plurality of semi-transparent display frames with different shapes can appear in the electronic map display area according to the distribution condition of the industrial targets, and a user can know that the industrial targets are annularly distributed around the center or are distributed along the line in a strip shape, and are concentrated and distributed where and irregularly distributed or not distributed.
In the invention, when the semi-transparent display frame is adopted to display the similar industrial targets, the halo effect can be exerted on all the similar industrial target identifiers at the same time, and the halo brightness of the area with higher density of the similar industrial targets is higher, so that a user can see the distribution range clearly and can see each similar industrial target.
When the concrete implementation, still include:
the industrial target consumption information comprises activity information, the detailed information display window comprises an activity display area, the total times of activities within a preset time limit, the performed activity information and the non-performed activity information are respectively displayed in the activity display area, and the activity information comprises any one or more of an activity name, an activity type, activity time, a ticket price and a residual ticket number.
In order to make the whole interface clear and concise when the electronic map is displayed, when the user does not select any identifier, the detailed information corresponding to the industrial target is hidden, and only when the user selects a certain identifier, the corresponding detailed information display window is popped up. The invention can display the corresponding activity arrangement condition besides the basic information of the industrial target, and is convenient for users to arrange the travel plan in advance according to the preference. The activity types may include concerts, operas, concerts, altars, exhibition leisure, dance ballet, sports, quadratic elements, children's relatives, travel shows, and the like.
When the concrete implementation, still include:
and generating target region text travel index evaluation information based on the text travel data, wherein the text travel indexes comprise primary indexes, secondary indexes and tertiary indexes, the primary indexes correspond to one or more secondary indexes, and each secondary index corresponds to one or more tertiary indexes.
According to the invention, various indexes are hierarchically divided, so that a user can select one index according to the own requirement and gradually and deeply know the specific situation of the direction, and the user has more directionality when checking the data.
In the invention, the first-level index comprises an urban tourism image index, an urban tourism industry development index and an urban tourism investment index, wherein the second-level index corresponding to the urban tourism image index comprises a public opinion index and an influence index, the third-level index corresponding to the public opinion index comprises lodging service, catering service, shopping service, tourism service, traffic service, entertainment service, natural environment and social environment, the third-level index corresponding to the influence index comprises whole-network heat and microblogs, the second-level index corresponding to the urban tourism industry development index comprises a consumption index, a flow index and an industry index, the third-level index corresponding to the consumption index comprises domestic tourism income and average consumption, the third-level index corresponding to the flow index comprises domestic tourism times and international tourism times, the third-level index corresponding to the industry index comprises an industrial status, and the second-level index corresponding to the urban tourism investment index comprises resources and environment indexes, The system comprises a government governance index, a city development index and a market index, wherein three levels of indexes corresponding to resources and environment indexes comprise world natural/cultural heritage, natural conservation areas, forest resources, ocean resources, water resources, tourist attractions, literary guarantee units and air quality, three levels of indexes corresponding to the government governance index comprise price levels, sanitation levels, commercial services and tourist policy quantities, three levels of indexes corresponding to the city development index comprise sports leisure, railways, logistics, roads, airports, catering services, postal and telecommunications, accommodation facilities, education and cultural facilities and medical treatment, and three levels of indexes corresponding to the market index enemy comprise market area population number, market area per capita income and tourist location analysis.
In specific implementation, the method for calculating each level of index comprises the following steps:
acquiring the weight of each index and the travel data;
calculating the value of the corresponding third-level index based on standard travel data obtained after the travel data extreme difference standardization processing and the corresponding weight;
calculating the value of the corresponding secondary index based on the value of the tertiary index and the corresponding weight;
calculating the value of the corresponding primary index based on the value of the secondary index and the corresponding weight;
when the travel data is positively correlated with the corresponding index, based on the formula Xi'j＝(Xij-Xjmin)/(Xjmax-Xjmin) The travel data is subjected to extreme standardization processing, and when the travel data is negatively correlated with the corresponding index, the travel data is based on a formula Xi'j＝(Xjmax-Xij)/(Xjmax-Xjmin) Subjecting the travel data to extreme standardization, wherein X isi'jStandard travel data obtained after the jth travel data range of the ith target area is subjected to extreme standardization processing, XijJ-th travel data for i-th target area, XjminIs the minimum value, X, in the jth travel datajmaxIs the maximum value in the jth travel data.
The acquisition of various data in the invention can be realized by big data technology, such as:
accommodation service, catering service, shopping service, touring service, traffic service, entertainment service, natural environment, social environment and whole-network heat degree data in the three-level indexes are from a big data research institute, and researchers capture whole-network comment data; and directly searching the city tourism reading amount in the microblog.
The data of the total amount of tourists related to tourism consumption in the city in China comes from Unionpay; data of domestic tourist number determination in city and international tourist number determination in city come from Union; domestic tourism consumption/number of tourists data come from Unionpay and Union; the proportion (tourism growth rate/economic growth rate) data of the tourism industry occupying GDP in cities is derived from the statistics of yearbook-manual work;
the world heritage amount comes from the statistics of yearbook-manual work; the number of natural protection areas at each level comes from manual query; the data of forest area coverage, coastline and water body coverage are derived from 2015 remote sensing data; the tourist attraction density data is derived from POI map data; the number of the liberty single digits comes from manual query, and the air quality AQI index (statistics for one year) data comes from manual query; the human body comfort level refers to the data of the number of days with the human body comfort level index of 0 grade, which is derived from the statistical yearbook; the price level CPI index data comes from the statistics yearbook-manual work; judging whether the national sanitary city data is from the annual statistics-manual work or not by the hygiene level; the commercial service calculation shopping service density data is derived from POI map data; data for travel news/all government news was sourced from the big data research institute; the sports and leisure POI density data is derived from a Gade map; the railway density data is derived from remote sensing; the highway logistics density data is derived from remote sensing; airport tourist throughput data is manually entered; the catering service density data is derived from remote sensing; the post and telecommunications POI data come from remote sensing; hotel density data is derived from remote sensing; scientific and educational culture POI density data come from remote sensing; the health care density data is derived from remote sensing; the population data in the range of 500 kilometers in a city is from remote sensing plus a statistical yearbook; the per-capita income data of the market regions comes from manual inquiry; tourist location analysis (tourist location density within 500 km of city) data is derived from remote sensing + POI data.
In the invention, the value of the three-level index is directly calculated through tourism data, and then the value of the upper layer is calculated step by step according to the dependency relationship among the indexes of all levels.
In the invention, the determination of the weight comprises the following steps:
establishing a decision matrix
Judging different data of the matrix shows different importance of each quantity, comparing the quantity with the quantity can distinguish the difference between the importance of the quantity and the quantity, and weighting each large class of indexes by taking 100 as a maximum value.
And setting a questionnaire according to the constructed index system, establishing a judgment matrix, inquiring expert opinions, and determining the index weight according to the result. 20 first-round recovery questionnaires are used for calculating the arithmetic mean value and the coefficient of variation of the obtained values, wherein the higher the former value is, the more important the index value is; smaller values of the latter indicate more important indicators. And adjusting an index system according to the obtained result, and further consulting the expert for opinions and determining the weight.
The expert group includes professors, and the academic background of the professors includes the research fields of tourist geography, ecological tourism, tourism informatization, tourism anthropology and the like.
Determining an index weight
And determining the index weight by adopting subjective and objective comprehensive determination, calculating an analytic hierarchy process (subjective) and a quasi-component analysis process (objective) to determine the index weight, and finally determining the former as the final index weight. The former inputs the obtained expert questionnaire result into Yaahp0.5.3 software to obtain. The latter uses the weight coefficient of SPSS22.0 with the first principal component as a sample to obtain the index weight.
When the multidimensional travel data monitoring and presenting method based on the big data is implemented specifically, the display interface comprises an electronic map and further comprises an industry dynamic label, when the industry dynamic label is selected, the display interface is switched to the industry dynamic display interface, the industry dynamic display interface comprises a tourism complaint display area, a tourism complaint analysis area and a tourism public praise analysis area, the network public opinion information comprises tourist evaluation information and tourist complaint information, and the multidimensional travel data monitoring and presenting method based on the big data further comprises the following steps:
displaying the complaint information of the tourists in the tourism complaint display area;
generating travel complaint analysis information based on the tourist complaint information and displaying the travel complaint analysis information in a travel complaint analysis area;
and generating travel public praise analysis information based on the tourist evaluation information and the tourist complaint information and displaying the travel public praise analysis information in the travel public praise analysis area.
The invention aims to show the intuitive feeling of the tourists to the tourist industry of the target area, so that the analysis and the display of the complaint and comment information of the tourists are also carried out.
In specific implementation, the tourism complaint display area comprises an area data display area, an industry data display area, a complaint trend display area and a final result display area, and the step of displaying the complaint information of the tourists in the tourism complaint display area comprises the following steps:
displaying the total number of complaints of a target area in an area data display area, dividing the target area into a plurality of sub-areas, and sequencing and displaying the total number of the complaints of each sub-area;
in the industry data display area, sequencing and displaying the total number of complaints of the target area and/or each industry target in each sub-area;
in the complaint trend display area, taking preset duration as a period, counting the total complaint quantity in each period and displaying the complaint quantity in a chart or a table;
in the final result display area, final time limit occupation ratio information and final result occupation ratio information of the complaint information of the tourists are counted and displayed, the time limit occupation ratio comprises an overdue period and a non-overdue period, and the final result comprises returned, handed over, no acceptance, self-settlement, successful adjustment, failed adjustment and quality assurance complete compensation.
In the invention, the final case time limit can be set according to actual needs, and then the big data technology is utilized to collect relevant information to judge whether the final case is finished according to the schedule.
In specific implementation, the tourism complaint analysis area comprises an area data display area, a complaint trend display area, a complaint information real-time rolling area, a complaint category analysis area and an acceptance statistical area, and the generation of the tourism complaint analysis information based on the tourism complaint information and the display in the tourism complaint analysis area comprises the following steps:
displaying the total number of complaints of a target area in an area data display area, dividing the target area into a plurality of sub-areas, and sequencing and displaying the total number of the complaints of each sub-area;
in the complaint trend display area, taking preset duration as a period, counting the total complaint quantity in each period and displaying the complaint quantity in a chart or a table;
scrolling and displaying the latest guest complaint information in a complaint information real-time scrolling area;
and classifying and counting the complaint information of the tourists according to any one or more of the sex, age group and complaint problem of the complaining tourists and the origin of the complaining tourists, displaying classification results in sequence, counting and displaying the total complaint amount of each period by taking the preset time length as a period when the classification result of any type is selected, and displaying the total complaint amount of each period by using the situation of a graph or a table.
During specific implementation, the travel public praise analysis area comprises a public praise overview area, an industry target red praise area, an industry target black praise area, an industry target positive hot-word area, an industry target negative hot-word area and an evaluation trend area, the industry target positive hot-word area is arranged corresponding to the industry target red praise area, the industry target negative hot-word area is arranged corresponding to the industry target black praise area, and the travel public praise analysis information is generated based on the tourist evaluation information and the tourist complaint information and displayed in the travel public praise analysis area, wherein the travel public praise analysis area comprises:
in a public praise overview area, counting the number of good comments, the number of medium comments and the number of bad comments, as well as the good comment proportion, the medium comment proportion and the bad comment proportion in the tourist evaluation information, and displaying the total number of the tourist evaluation information, the total number of the good comments, the total number of the medium comments and the total number of the bad comments, as well as the corresponding good comment proportion, the medium comment proportion and the bad comment proportion, as well as the number of the tourist evaluation information, the number of the good comments, the number of the medium comments and the bad comment proportion, as well as the corresponding good comment proportion, the medium comment proportion and the bad comment proportion in the tourist evaluation information in the public praise overview area by taking a preset time length as a period;
in the invention, the change situation and the change trend of various data can be shown by taking a year, a quarter, a month or a week as a cycle according to needs.
In the industry target red list area, respectively calculating scores of various industry targets based on the good rating proportion, the poor rating proportion and the number of the complaint information of the tourists in the tourist evaluation information corresponding to the industry targets, and displaying the scores in a descending order;
in the present invention, Q is X × R1-Y × R2-Z × R3, Q is a score, X, Y and Z are a good score, a bad score and a number of guest complaint information, respectively, and R1, R2 and R3 are weights of a good score, a bad score and a number of guest complaint information, respectively.
Extracting front hot words in visitor evaluation information corresponding to the industrial target in an industrial target front hot word area, and displaying the front hot words in sequence;
in the industry target blacklist area, ranking and displaying scores of various industry targets in a descending order;
in the industry target negative hot word evaluation area, extracting negative hot words in the tourist evaluation information corresponding to the industry target, and displaying the negative hot words in sequence;
in the invention, the hot words can be sorted from top to bottom according to the occurrence times, or sorted by adopting other expression forms according to the occurrence times, for example, the more the hot words occur, the larger the font is.
In the evaluation trend area, the number of tourist evaluations, the number of good reviews, the number of medium reviews and the number of bad reviews in each period are displayed in a form of a graph or a table by taking the preset time length as the period.
Besides the steps, the invention can also match the existing data according to the preset matching rule, call the corresponding proposal or decision-making clause and generate the corresponding proposal or decision-making report.
Finally, it is noted that the above-mentioned embodiments illustrate rather than limit the invention, and that, while the invention has been described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A multidimensional text travel data monitoring and presenting method based on big data is characterized by comprising the following steps:
s1, acquiring travel data of the target area, wherein the travel data comprise industrial target position information, industrial target consumption information and network public opinion information;
s2, marking the industrial targets on the electronic map by the corresponding type of identifiers based on the position information of the industrial targets, wherein each type of industrial targets is preset with the corresponding identifiers;
and S3, when any mark is selected, displaying the industry target consumption information and the network public opinion information corresponding to the mark on the detailed information display window.
2. The big-data-based multidimensional travel data monitoring and presenting method of claim 1, further comprising:
when any identifier is selected, applying a distribution display effect to all industrial targets of the type to which the industrial target corresponding to the identifier belongs on the electronic map, wherein the mode of applying the distribution display effect comprises the steps of connecting the industrial target with the similar industrial target adjacent to the industrial target by lines, applying a halo effect to the identifiers of all the similar industrial targets, and increasing the halo brightness of the area with higher density of the similar industrial target, or encircling the similar industrial target by a semi-transparent display frame with the color corresponding to the type of the industrial target, wherein when the distance between any two similar industrial targets is within a preset distance, the two similar industrial targets are in the same semi-transparent display frame.
3. The big-data-based multidimensional travel data monitoring and presenting method of claim 2, further comprising:
the industrial target consumption information comprises activity information, the detailed information display window comprises an activity display area, the total times of activities within a preset time limit, the performed activity information and the non-performed activity information are respectively displayed in the activity display area, and the activity information comprises any one or more of an activity name, an activity type, activity time, a ticket price and a residual ticket number.
4. The big-data-based multidimensional travel data monitoring and presenting method of claim 1, further comprising:
and generating target region text travel index evaluation information based on the text travel data, wherein the text travel indexes comprise primary indexes, secondary indexes and tertiary indexes, the primary indexes correspond to one or more secondary indexes, and each secondary index corresponds to one or more tertiary indexes.
5. The big-data-based multidimensional travel data monitoring and presenting method of claim 4, wherein the method of calculating each level of metrics comprises:
acquiring the weight of each index and the travel data;
calculating the value of the corresponding third-level index based on standard travel data obtained after the travel data extreme difference standardization processing and the corresponding weight;
calculating the value of the corresponding secondary index based on the value of the tertiary index and the corresponding weight;
calculating the value of the corresponding primary index based on the value of the secondary index and the corresponding weight;
when the text travel data is positively correlated with the corresponding index, the formula X 'is based'ij＝(Xij-Xjmin)/(Xjmax-Xjmin) Performing extreme standardization on the text travel data, and comparing the text travel data with the text travel dataWhen the corresponding indexes are negatively correlated, the indexes are based on the formula X'ij＝(Xjmax-Xij)/(Xjmax-Xjmin) Subjecting the travel data to extreme difference standardization, wherein X'ijStandard travel data obtained after the jth travel data range of the ith target area is subjected to extreme standardization processing, XijJ-th travel data for i-th target area, XjminIs the minimum value, X, in the jth travel datajmaxIs the maximum value in the jth travel data.
6. The method as claimed in claim 1, wherein the display interface includes an electronic map, and further includes an industry dynamic tag, when the industry dynamic tag is selected, the display interface is switched to the industry dynamic display interface, the industry dynamic display interface includes a tourism complaint display area, a tourism complaint analysis area, and a tourism public praise analysis area, the internet public opinion information includes tourist evaluation information and tourist complaint information, and the method further includes:
displaying the complaint information of the tourists in the tourism complaint display area;
generating travel complaint analysis information based on the tourist complaint information and displaying the travel complaint analysis information in a travel complaint analysis area;
and generating travel public praise analysis information based on the tourist evaluation information and the tourist complaint information and displaying the travel public praise analysis information in the travel public praise analysis area.
7. The big-data-based multidimensional travel data monitoring and presenting method of claim 6, wherein the travel complaint display area comprises a regional data display area, an industrial data display area, a complaint trend display area and a final result display area, and displaying the complaint information of the tourists on the travel complaint display area comprises:
displaying the total number of complaints of a target area in an area data display area, dividing the target area into a plurality of sub-areas, and sequencing and displaying the total number of the complaints of each sub-area;
in the industry data display area, sequencing and displaying the total number of complaints of the target area and/or each industry target in each sub-area;
in the complaint trend display area, taking preset duration as a period, counting the total complaint quantity in each period and displaying the complaint quantity in a chart or a table;
in the final result display area, final time limit occupation ratio information and final result occupation ratio information of the complaint information of the tourists are counted and displayed, the time limit occupation ratio comprises an overdue period and a non-overdue period, and the final result comprises returned, handed over, no acceptance, self-settlement, successful adjustment, failed adjustment and quality assurance complete compensation.
8. The method as claimed in claim 6, wherein the tourism complaint analysis area comprises a regional data display area, a complaint trend display area, a complaint information real-time rolling area, a complaint category analysis area and an acceptance statistic area, and the step of generating and displaying the tourism complaint analysis information based on the tourism complaint information comprises:
displaying the total number of complaints of a target area in an area data display area, dividing the target area into a plurality of sub-areas, and sequencing and displaying the total number of the complaints of each sub-area;
in the complaint trend display area, taking preset duration as a period, counting the total complaint quantity in each period and displaying the complaint quantity in a chart or a table;
scrolling and displaying the latest guest complaint information in a complaint information real-time scrolling area;
and classifying and counting the complaint information of the tourists according to any one or more of the sex, age group and complaint problem of the complaining tourists and the origin of the complaining tourists, displaying classification results in sequence, counting and displaying the total complaint amount of each period by taking the preset time length as a period when the classification result of any type is selected, and displaying the total complaint amount of each period by using the situation of a graph or a table.
9. The big-data-based multi-dimensional textual travel data monitoring and presenting method of claim 6, wherein the travel-milestone analysis area comprises a public-milestone overview area, an industry target red-list area, an industry target black-list area, an industry target positive-hot-rating area, an industry target negative-hot-rating area and an evaluation trend area, the industry target positive-hot-rating area is disposed corresponding to the industry target red-list area, the industry target negative-hot-rating area is disposed corresponding to the industry target black-list area, and the generating and displaying of the travel-milestone analysis information based on the tourist-evaluation information and the tourist-complaint information in the travel-milestone analysis area comprises:
in a public praise overview area, counting the number of good comments, the number of medium comments and the number of bad comments, as well as the good comment proportion, the medium comment proportion and the bad comment proportion in the tourist evaluation information, and displaying the total number of the tourist evaluation information, the total number of the good comments, the total number of the medium comments and the total number of the bad comments, as well as the corresponding good comment proportion, the medium comment proportion and the bad comment proportion, as well as the number of the tourist evaluation information, the number of the good comments, the number of the medium comments and the bad comment proportion, as well as the corresponding good comment proportion, the medium comment proportion and the bad comment proportion in the tourist evaluation information in the public praise overview area by taking a preset time length as a period;
in the industry target red list area, respectively calculating scores of various industry targets based on the good rating proportion, the poor rating proportion and the number of the complaint information of the tourists in the tourist evaluation information corresponding to the industry targets, and displaying the scores in a descending order;
extracting front hot words in visitor evaluation information corresponding to the industrial target in an industrial target front hot word area, and displaying the front hot words in sequence;
in the industry target blacklist area, ranking and displaying scores of various industry targets in a descending order;
in the industry target negative hot word evaluation area, extracting negative hot words in the tourist evaluation information corresponding to the industry target, and displaying the negative hot words in sequence;
in the evaluation trend area, the number of tourist evaluations, the number of good reviews, the number of medium reviews and the number of bad reviews in each period are displayed in a form of a graph or a table by taking the preset time length as the period.
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