TW201627938A - Social media environment data processing system and method - Google Patents

Abstract

The present invention relates to a social media environment data processing system and method. A cloud server is installed with a social data processing program and provides a social observation platform. In addition, the cloud server is connected with one or more electronics of users through the Internet for data exchange. The cloud server performs analysis and computation on big data in the social media environment. When a user performs an operation on the social observation platform and observes multi-field data of interest, one or more sensors with analysis features are utilized to perform screening, data analyzing and visualizing on the multi-field data and related data through the computation architecture of the aforementioned social data processing program. The present invention uses the cloud server to perform analysis processing on different field data, so as to achieve the purposes of cross fields, cross applications, and improvement on the efficiency of analyzing big data.

Description

Data processing system and method for social media environment

The present invention relates to an instant data processing system, and more particularly to a data processing system and method for a social media environment applied to a network.

In recent years, social media networks have emerged and a large and complex new form of network structure has been constructed. These booming social media and their data open policies have driven the data analysis frenzy of the global social media. Group media can be broadly viewed as a tool and platform for people to share opinions, insights, experiences, and perspectives. It can be presented in many different forms, including text, images, music, and video, more common. Including social media such as Twitter, Facebook, YouTube, Blog, Plurk, Flickr, etc., which generally use Internet technology and tools to share information and discuss issues among people, and through effective interaction and diffusion, can effectively The theme is agreed, and its impact is quite large and far-reaching.

Nowadays, the rapid growth of huge amounts of information in social media has caused a large number of governments and enterprises to invest resources in the task of collecting data, especially for the rapid collection, filtering, storage and management of huge amounts of data. The growth rate of original data has been much faster than the speed of expert analysis. In the prior art, data scientists must use a variety of tools and replace them with different programming languages, but when using different tools, they will spend a lot of resources to make content. Switching and adjustment, which affects work efficiency and hinders reproducibility. Therefore, existing data analysis platforms usually only analyze services in specific areas, and the data to be captured is limited to specific projects. The application area must add more analysis tasks, and even all the analysis tools must be reset when the domain is replaced, making data processing and analysis less efficient.

For example, China's invention publication No. 201319987 "Community Media Activity Metrics" (hereinafter referred to as the previous case), the main purpose is to measure the effectiveness of marketing activities, including an activity manager, a tracking system and an analysis engine, the activity manager Performing the following steps on at least one processor: "generating an activity information, the activity information includes a first link, the first link enables the activity manager to receive at least one communication medium; and transmitting the activity information to a plurality of uses Detecting that at least a portion of the activity information is used by a first user in a first social network to be posted as a first social network; and establishing for the first social network a second activity information posted by the road, the second activity information has a second link, the second link causes the activity manager to receive at least one communication medium; the tracking system performs the following steps: "detecting the link When a link to the activity information is clicked; establishing a record containing one of the identifiers of a person for clicking on the link; and storing the record at Analysis of the database "; the analysis engine system, perform the following steps:" Analysis of the database are analyzed to establish a report, which contains information click on "information for the event.

According to the above prior art, if you want to analyze and process huge amounts of data in different fields and different applications, you must replace all kinds of different programming languages and tools, not only the work efficiency is affected, but even the existing data analysis platform. It also provides only collection and analysis services for specific areas. The data it crawls is limited to specific projects. If you want to analyze different application areas, you must reset the analysis tools, which is quite inconvenient for users, although before The project proposes an automated system through which the activity manager, tracking system and analysis engine can automatically detect when the activity information link is clicked and generate an analysis report, but the application field of the data analysis is limited by the measurement. The effectiveness of marketing activities still cannot solve the problem of completely solving the inefficiency and inconvenience in the prior art. In terms of current use requirements, it is indeed worth further research to propose a better solution.

The main object of the present invention is to provide a data processing system and method for a social media environment, which constructs a system by modularity, easy management, and convenient use, and instantly crosses huge amounts of data in a social media environment. Domain and cross-application analysis operations to improve the efficiency of analyzing huge amounts of data.

The technical means to achieve the foregoing objectives is to implement the data processing method of the aforementioned social media environment, which is implemented on a community observation platform, and the method comprises the following steps: providing a database; accepting a user to add an observation case And providing information related to the observation case to obtain a corresponding majority of the observation data in the database, and adding at least one sensor having an analysis characteristic parameter to the observation case, wherein the sensor includes at least one Data analysis algorithm; according to the sensor in the observation case, the majority of the observation data is screened, and the data analysis algorithm is executed with the selected data to obtain a visual analysis result.

The above method is mainly for the user to freely add new observation cases on the community observation platform, and allows the user to edit and set relevant information about the observation case on the community observation platform, through user-defined correlation. Information to obtain the corresponding observation data in the database, and to add a sensor with analytical characteristic parameters to the observation case, and to add sensing with different analysis characteristic parameters according to the observation cases of different topics set by the user. And according to the sensor in the observation case, the majority of the observation data are separately screened, and then the filtered data is calculated through the data analysis algorithm and the analysis characteristic parameter, and the visualized data is obtained according to the calculated data. By analyzing the results, it is only necessary to add sensors with different analytical characteristic parameters to the observation cases, so that the data in different fields can be analyzed and processed in real time, achieving cross-domain, cross-application and improving the efficiency of analyzing huge amounts of data.

Another technical means for achieving the foregoing purposes is the data processing system of the social media environment, which includes a cloud server, the cloud server includes: a data receiving unit for receiving most data and parameter signals. And a data cluster module connected to the data receiving unit for storing a plurality of observation data; a sensor cluster module comprising at least one sensor having an analysis characteristic parameter, the sensor comprising at least a data analysis algorithm; a sensor data processing module is respectively connected to the data cluster module and the sensor cluster module, and receives most observation data in the data cluster module and the sensor An analysis characteristic parameter; an observation case management module is respectively connected to the data receiving unit, the data cluster module, the sensor cluster module, and the observation case management module receives the majority parameter transmitted by the data receiving unit Signals and commands, and exchange data with the data cluster module according to most parameter signals and commands, and set the sensor cluster The number of sensors and their analysis characteristic parameters; wherein, when the observation case management module receives a majority of data, parameter signals and instructions of an observation case, and obtains corresponding majority observation data in the data cluster module, The sensor data processing module filters most of the observation data, and executes the data analysis algorithm with the filtered data to obtain an analysis result.

The above-mentioned cloud server provides the community observation platform, which allows users to add and customize an observation case at any time to analyze huge amounts of data in the social media environment when the user is on the community observation platform. When performing operations and observing most of the domain data of interest, the data receiving unit of the cloud server receives most data, parameter signals and instructions, and the data cluster module stores the majority of the observation data in a classified manner. The observation case management module exchanges data with the data cluster module according to a plurality of parameter signals and instructions, and sets the number of sensors of the sensor cluster module and the analysis characteristic parameters thereof, wherein the analysis characteristic parameters of the different sensors are The observation data management module receives the majority of the observation data corresponding to the observation case, so that the sensor data processing module is based on the sensor pair set in the observation case. Most observations are screened separately, and the filtered data is passed through pre-set or new data analysis algorithms and Performing calculations on the characteristic parameters, and obtaining the analysis results according to the calculated data, so that the user only needs to add sensors having different analysis characteristic parameters to the observation case, and perform task assignment and management through the observation case management module. Real-time analysis and processing of data in different fields to achieve cross-domain, cross-application and improve the efficiency of analyzing huge amounts of data.

For a preferred embodiment of the data processing system of the social media environment of the present invention, please refer to FIG. 1 , which mainly installs a social data processing program (such as Web App) by a cloud server 10 and provides a community. An observation platform 11 , wherein the community observation platform 11 can be installed on the cloud server 10 or installed on different servers. The community data processing program has a community data computing architecture and is implemented in the community. The group observation platform 11 allows the community observation platform 11 to be connected to the community observation platform 11 via a network by one or more electronic devices 30 for data exchange. When the user logs in through the electronic device 30, The community observation platform 11 operates and observes most of the domain data of interest, and the cloud server 10 instantly exchanges data with the majority social media 40 through the network, and executes the community data computing architecture to The huge amount of data in social media 40 is analyzed, and most of the social media 40 includes social media such as Twitter, Facebook, YouTube, Blog, Plurk, and Flickr.

The above-mentioned community observation platform 11 mainly provides users with the freedom to add an observation case, and provides a database storing most observation data, and allows the user to edit and set the observation case on the community observation platform 11. Most of the information, parameter signals and instructions are obtained through user-defined information to obtain the corresponding majority of observations in the database, and more than one sensor with analytical characteristic parameters is added to the observation case. The sensor includes more than one data analysis algorithm and at least one visual analysis characteristic parameter. In this embodiment, a plurality of sensors having different analysis characteristic parameters are respectively added to the observation cases of different topics by the user, and each The sensor will separately screen the contents of the observation data according to the analysis characteristic parameters thereof, and the sensor then analyzes the data through the preset or newly added data analysis algorithm to obtain an analysis result. After that, the user can also select the visual analysis characteristic parameters included in the sensor according to the requirements, The calculated analysis results are converted to generate a visual presentation interface, thereby real-time analysis and processing of huge amounts of data in different fields, achieving cross-domain, cross-application and improving analysis efficiency.

In this embodiment, the community observation platform 11 can be used by a plurality of electronic devices 30. The electronic device 30 can be a digital television, a tablet computer, a smart phone, a notebook computer, and a desktop device. Computers and other electronic products, and the above-mentioned electronic products are only examples, and are not limited to the available electronic products.

To illustrate the community data computing architecture of the preferred embodiment, please refer to FIG. 2, wherein the community data computing architecture includes a data receiving unit 21, a data cluster module 22, and a sensor cluster module 23. a sensor data processing module 24, an observation case management module 25, and a parameter preset module 26, wherein the data receiving unit 21 is connected to the data cluster module 22, and the sensor data processing module The group 24 is connected to the data cluster module 22 and the sensor cluster module 23, and the parameter preset module 26 is connected to the sensor data processing module 24, and the observation case management module 25 and the The data receiving unit 21, the data cluster module 22, the sensor cluster module 23 and the parameter preset module 26 are connected;

The data receiving unit 21 is configured to receive information about a majority of data, parameter signals, and commands input by the user on the community observation platform 11, and the cloud server 10 obtains most observation data from the majority social media 40 through the network. The data cluster module 22 is configured to provide a database for storing a plurality of observation data. In the embodiment, the data cluster module 22 is mainly composed of more than one data set 221, and can be used for classifying and storing most observation data. The efficiency of the data processing is improved. The sensor cluster module 23 is configured to manage the analysis characteristic parameters of the one or more sensors 231 and related information, and transmit the analysis characteristic parameters of the sensor 231 and related information to the The sensor data processing module 24 performs subsequent data analysis processing by the sensor data processing module 24.

In this embodiment, the sensor data processing module 24 includes a data pre-selection unit 241, a data analysis unit 242, and a visualization unit 243, and assumes that the selected sensor includes a plurality of data analysis algorithms and a plurality of visions. The characteristic parameter is analyzed. When the sensor data processing module 24 receives the majority of the observation data in the data cluster module 22 and the analysis characteristic parameters of the sensors 231 in the sensor cluster module 23, The data pre-selection unit 241 performs preliminary data screening on most observation data according to the analysis characteristic parameters of each sensor 231 (such as taking out related features such as content tweets), and then presets the filtered data by the data analysis unit 242 or The newly added data analysis algorithm performs operations to obtain a plurality of analysis results, and then the user can select the visual analysis characteristic parameters included in the sensor according to the requirements, so that the visualization unit 243 can visualize according to the user's selection. The analysis characteristic parameter converts the analysis result to obtain a visual presentation interface, thereby presenting the analysis result in a more efficient manner;

Furthermore, the observation case management module 25 is mainly used for task assignment and management. When the observation case management module 25 receives the majority parameter signals and instructions transmitted by the data receiving unit 21, and according to the majority parameter signals and the data All the data sets 221 in the cluster module 22 exchange data, and set the number of sensors 231 in the sensor cluster module 23 and the analysis characteristic parameters according to the instructions, when the observation case management module 25 receives the use. Through the information of most of the newly observed observations, parameter signals and instructions, and the corresponding observation data of each data set 221, the sensor data processing module 24 filters most of the observation data, and The visualized presentation interface is obtained by performing the data analysis algorithm and visually analyzing the characteristic parameters with the filtered data.

In this embodiment, the parameter preset module 26 receives the analysis characteristic parameters of all the sensors 231 in the sensor data processing module 24, and the majority data, parameter signals and instructions of the observed case management module 25. The related information is stored as a preset template of an expert experience. The preset template includes a sensor template 261 and an observation case template 262, so that the newly added observation case can directly use all the related information that has been set. And through the sensor data processing module 24 to quickly generate an analysis result.

For further description of the specific application mode of the preferred embodiment, please refer to FIG. 3, wherein the electronic device 30 has an input module 31 and a display 32 for providing a web page for the user or the administrator (below) For example, the user is used for the operation. In the embodiment, the community observation platform 11 is presented as a webpage as an example. However, the community observation platform 11 can be used by more than one user by using an account number and a password. Login operation; when the user logs in to the page of a community observation platform 11, as shown in FIG. 4, a plurality of tabs on the page of the community observation platform 11 can be selected to switch to establish an observation case interface 12, an edit The observation case interface 13, a chart analysis interface 14, a sensor setting interface 15 and a parameter preset template interface 16, or directly select a virtual quick start button 111 to initiate the establishment of the observation case interface 12.

In the established observation case interface 12, the user can input the majority information, the parameter signal and the instruction and the related information 121. The related information 121 in this embodiment includes an observation case name, an observation case description, a label name, and a data type. , a source of data content, a new data set, an analysis time, a sensor, etc., the data type information refers to historical social media data, the data content source information refers to upload and use new The data set, the way to create a new data set can be by selecting the file or entering the name of the data set. The information about the sensor is added by default or by adding more than one community feeling with the analysis characteristic parameters. In the embodiment, the analysis characteristic parameter may be a set of language analysis parameters, a set of text network analysis parameters, or a set of user analysis parameters, etc., and the community sensor 122 is transmitted through the analysis characteristic parameter. Analytical functions with specific needs, and enable the sensor 122 to perform data such as word segmentation analysis, word frequency analysis, co-occurrence matrix, and emotion analysis. Analysis algorithms, and finally produce a variety of visual presentation based on user-specific analysis needs.

In this embodiment, the community sensor 122 mainly causes the user to click and drag through a logo image, and the community sensor 122 includes a language analysis sensor and a text network analysis sensing. The user, the user analyzes the sensor, and causes the community observation platform 11 to filter the majority of the observation data of the social media according to the community sensor 122 selected in the observation case.

Please refer to FIG. 6 and FIG. 7. The established observation case interface 12 is provided with a parameter preset template option 123 for the user to select an item in the preset template option 123 (such as the 2012 presidential election analysis). The model), when the user selects the topic, the new data set is automatically brought into the file related to the issue. At this time, the community observation platform 11 causes the new data set to be hidden in the establishment of the observation case interface 12, and other related The information 121 automatically brings in information related to the topic, and the user can move the language analysis sensor and the text network analysis sensor into the sensor information by dragging.

After the user moves the community sensor 122 to be used into the sensor information, the added community sensor 122 can be removed through the complex setting option on the logo image, or further The analysis characteristic parameter setting is performed on the community sensor 122, as shown in FIG. 8 , wherein one of the setting options on the identification image of the language analysis sensor is selected, and the language analysis sensor setting interface is switched. The 1221 is operated by the user, and the corresponding sensor 231 is configured to analyze the characteristic parameters and related information through the sensor cluster module 23, and the analysis characteristic parameters of the sensor 231 and related information are transmitted to The sensor data processing module 24 performs subsequent data analysis processing by the data pre-selection unit 241 and the data analysis unit 242 of the sensor data processing module 24; in this embodiment, the language analysis sensor The setting interface 1221 has a set of parameter preset file options, a selection detection method field, and an added analysis language field, and the set parameter preset file option is provided for the user to select and apply an analysis characteristic parameter. If the user chooses not to apply the preset file, the selection detection method field and the added analysis language field are further set. In this embodiment, a plurality of detection items can be set in the selection detection method field, for example, A source data detection project, a whole tweet detection project, a tweet message detection project, and/or an original text detection item may also be set in a multilingual language in the analysis language field.

As shown in FIG. 9, if one of the setting options on the identification image of the text network analysis sensor is selected, switching to a word segmentation analysis setting interface 1222, the word segmentation analysis sensor The setting interface 1222 has a set of parameter preset file options, a selection corpus field and a special attention word field, and the set parameter preset file option is also available for the user to select a preset file with an analysis characteristic parameter, if the user If the preset file is still not selected, the selected corpus field and the special attention word field may be further set. In this embodiment, the selected corpus field has multiple corpora for selection, for example, a traditional Chinese general corpus, A Simplified Chinese General Corpus and/or a Traditional Chinese Taiwan Place Name Corpus, which includes most of the topic-related keywords, such as Ma X Jiu, Cai X Wen, Guo X Party and/or Min X Party. And there is an additional word of interest option to add other keywords related to the topic.

After the user establishes the observation case interface 12 to perform the above operation modes, if the user wants to view or edit the observation case again, click the tab on the page of the community observation platform 11 to switch to the edit observation case interface 13, As shown in FIG. 10, the edited observation case interface 13 includes an observation case segmentation page and a modified observation case page. The observation case shows that the segmentation page displays a related information 131 belonging to the observation case, and a group has joined the observation case. The community sensor 132 information and a set parameter of the selected parameter preset template option 133 are as shown in FIG. 11. The modified observation case page provides a modifiable edit related information 1311, which is presented by the logo image. A community sensor 1321 that can be dragged and reset, and a set parameter preset template option 1331 for the user to select, and the related information 1311 has a release status option, so that the user can set the observation case to be one. Private status or a public status.

After the user has completed the above-mentioned observation case, the tab on the page of the community observation platform 11 is further selected to switch to the chart analysis interface. As shown in FIG. 12, in the embodiment, the chart analysis interface 14 has a The sensor selects the page 141, and the sensor selects the page 141 to display a logo image representing a plurality of different visual analysis modes, and the user can use the sensor to select the virtual button 1411, 1412 provided on the page 141. The identification image of the community sensor 122 to be activated, when the user selects one of the identification images, for example, when the user selects the identification image representing the text network analysis, the sensor data processing module 24 The visualization unit 243 performs a graphical operation on the analysis result obtained by the data analysis unit 242 by performing the data analysis algorithm, and then converts the analysis result into a visualized representation by using the visual analysis characteristic parameter corresponding to the text network analysis. The interface, as shown in the language analysis page 142 of FIG. 13, provides a visual analysis of a proportional analysis, a periodic analysis, and a community ratio. In the embodiment, a text network analysis tab 143 can be further disposed adjacent to the language analysis page 142, so as to further provide a text network analysis page, the function of the text network analysis page and the language analysis page. The same is true for 142, which can provide visual results such as word frequency statistics, a word cycle analysis, and a word relationship.

In the above process, the user can still switch to the sensor setting interface 15 and the parameter preset template interface 16 through the tabs on the page of the community observation platform 11, as shown in FIG. 14 and FIG. 15, wherein the sensor The setting interface 15 can edit the added community sensor 122, for example, the user selects to edit the text network analysis sensor, and the sensor setting interface 15 provides a user to set a selection corpus field, a special Focusing on the word field, an editing project word-breaking vocabulary field, and an editing useless vocabulary field; wherein the selected corpus field has multiple corporas to choose from, and the special attention word field includes a majority related to the topic. Key words, and an add focus word option to add other keywords related to the topic, the editorial project word breaks the vocabulary field, the editor useless vocabulary field is used to increase or decrease the unique or observed cases often Unique words appear to enhance accuracy, and can be set to help filter out words that are not analytical.

The parameter preset template interface 16 mainly stores all the analysis characteristic parameters, the majority data, the parameter signals and the instructions, etc., through the parameter preset module 26, respectively, in the observation case template 262 of the parameter preset module 26 and And the sensor template 261, and presenting the data content on the parameter preset template interface 16 with an observation case template page 161 and a sensor template page 162 for reference by the user, the observation case template page 161 and the sensing The template template page 162 has a user/public parameter setting file, which not only can view the data content of the preset pattern, but also distinguish the data content from the user's own or public data other than the user, and can also repeat Perform parameter setting adjustments.

According to the specific application manner and description of the preferred embodiment of the present invention, the data processing method of the social media environment can be further summarized. The method is implemented on the cloud server 10 that provides the community observation platform, and the cloud server is provided. The device 10 installs a community data processing program having a community data computing architecture, and receives, by the data receiving unit 21, majority information, parameter signals, commands, and the like input by the user, and the cloud server 10 obtains the majority information from the network through the network. Most of the observations of the group media 40 are as shown in FIG. 16, and the following steps are performed on the community observation platform: The data cluster module 22 provides a database (S61) for storing most observations and The observation data is stored in a category to enhance the efficiency of data processing. The observation case management module 25 accepts a user (user/manager) to add an observation case and customizes the information of the observation case to obtain the information. Most of the corresponding observations in the library (S62), and more than one analytical characteristic parameter added to the observation case The sensor 231 (S63), wherein each sensor 231 includes one or more data analysis algorithms and one or more visual analysis characteristic parameters, and the sensor cluster module 23 manages the analysis of each of the sensors 231 described above. The characteristic parameter and related information, and the analysis characteristic parameter of the sensor 231 and related information are transmitted to the sensor data processing module 24; the data pre-selection unit 241 of the sensor data processing module 24 is based on The sensor 231 in the observation case performs screening of the majority of the observation data (S64), and the data analysis unit 242 performs at least one data analysis algorithm on the filtered data to obtain an analysis result (S65). The visualization result may be graphically calculated by the visualization unit 243 according to the visual analysis characteristic parameter selected by the user, and converted to generate a visualized presentation interface; the preset module 26 stores the observation through the parameter. The case is a preset template of expert experience (S66).

It can be seen from the above steps that the community observation platform 11 can be used by the user to newly add an observation case, and freely edit and set relevant information about the observation case, and add a sensor 231 having an analysis characteristic parameter to the observation case. The sensor 231 having different analysis characteristic parameters may be added according to the observation case of different topics set by the user, and the majority of the observation data are separately filtered according to the sensor 231 in the observation case, and the filtered data is passed through The data analysis algorithm and the corresponding analysis characteristic parameters are analyzed and calculated, and the visualized presentation interface is generated according to the data after the analysis.

The invention further provides a preset template process, so that the newly added observation cases of the user can directly use all the related information and preset templates that have been set and stored, as shown in FIG. 17, and on the community observation platform. Performing the following steps: Performing a set of template mode through the parameter preset module 26 (S71); enabling a newly added observation case to directly use a stored preset template (S72), the preset template includes a a sensor template 261, an observation case template 262; using the respective sensors 231 in the preset template to screen the majority of the observation data separately, and then filtering the filtered data through the preset data analysis algorithm and corresponding analysis The characteristic parameters are operated to quickly generate a visual presentation interface (S73).

Therefore, the invention mainly adds the sensor 231 with different analysis characteristic parameters in the observation case, so that the data of different fields can be analyzed and processed in real time, which not only achieves cross-domain and cross-application, but also saves time and time. Rapid analysis, adaptive selection, and future flexibility in packaging analysis methods and analysis, through reusability, manageability design to retain past experience, reduce the time to try to explore, and lead others to get started quickly, Significantly reduce the time required for trial and processing in data analysis operations. Not only can the results of case analysis be saved, but the automated processing can also effectively bring the environment to the analysts more easily, and can shorten the data analysis time to improve the analysis of huge amounts of data. The purpose of efficiency.

10‧‧‧Cloud Server
11‧‧‧Community observation platform
12‧‧‧ Establishing an observation case interface
121,131,1311‧‧‧Related information
122,132,1321‧‧‧Community Sensor
123,133,1331‧‧‧Apply parameters preset template options
1222‧‧‧Word analysis sensor setting interface
1221‧‧‧ Language analysis sensor setting interface
13‧‧‧Edit observation case interface
14‧‧‧Chart Analysis Interface
141‧‧‧Sensor selection pagination
1411, 1412‧‧‧ virtual buttons
142‧‧ ‧ language analysis page
143‧‧‧Text Network Analysis Tab
15‧‧‧Sensor setting interface
16‧‧‧Parameter preset template interface
161‧‧‧ Observation case template paging
162‧‧‧Sensor template paging
21‧‧‧data receiving unit
22‧‧‧Data Cluster Module
221‧‧‧ data set
23‧‧‧Sensor Cluster Module
231‧‧‧ sensor
24‧‧‧Sensor data processing module
241‧‧‧Information pre-selection unit
242‧‧‧Data Analysis Unit
243‧‧‧Visual Unit
25‧‧‧ Observation Case Management Module
26‧‧‧Parameter preset module
261‧‧‧Sensor model
262‧‧‧ examples of observation cases
30‧‧‧Electronic devices
31‧‧‧Input module
32‧‧‧ display
40‧‧‧Social Media

1 is an external view of a data processing system of a social media environment in accordance with a preferred embodiment of the present invention. 2 is a block diagram of a community data computing architecture in accordance with a preferred embodiment of the present invention. 3 is a schematic diagram of an electronic device login community observation platform according to a preferred embodiment of the present invention. 4 is a schematic diagram of a community observation platform page in accordance with a preferred embodiment of the present invention. FIG. 5 is a schematic diagram of establishing an observation case interface according to a preferred embodiment of the present invention. FIG. 6 is a state diagram of a preset parameter of a set of parameters for an observation case according to a preferred embodiment of the present invention. Figure 7 is a diagram showing the state of the sensor added to the observation case of a preferred embodiment of the present invention. FIG. 8 is a schematic diagram of a language sensor setting interface of an observed case according to a preferred embodiment of the present invention. FIG. 9 is a schematic diagram of a text sensor setting interface of an observation case according to a preferred embodiment of the present invention. Figure 10 is a schematic diagram showing detailed data of an observation case according to a preferred embodiment of the present invention. Figure 11 is a schematic illustration of a modified interface of an observation case in accordance with a preferred embodiment of the present invention. Figure 12 is a schematic diagram of a graphical analysis interface of a preferred embodiment of the present invention. Figure 13 is a schematic diagram of a visual analysis interface of a chart analysis in accordance with a preferred embodiment of the present invention. FIG. 14 is a schematic diagram of a sensor setting interface according to a preferred embodiment of the present invention. FIG. 15 is a schematic diagram of a parameter preset template interface according to a preferred embodiment of the present invention. 16 is a flow chart of a data processing method of a social media environment according to a preferred embodiment of the present invention. 17 is a flow chart of applying a preset pattern according to a preferred embodiment of the present invention.

21‧‧‧data receiving unit

22‧‧‧Data Cluster Module

221‧‧‧ data set

23‧‧‧Sensor Cluster Module

231‧‧‧ sensor

24‧‧‧Sensor data processing module

241‧‧‧Information pre-selection unit

242‧‧‧Data Analysis Unit

243‧‧‧Visual Unit

25‧‧‧ Observation Case Management Module

26‧‧‧Parameter preset module

261‧‧‧Sensor model

262‧‧‧ examples of observation cases

Claims (12)

A data processing method for a social media environment, implemented in a community observation platform, the method comprising the steps of: providing a database; accepting a user to add an observation case, and providing information for customizing the observation case Obtaining a plurality of corresponding observation data in the database, and adding at least one sensor having an analysis characteristic parameter to the observation case, wherein the sensor comprises at least one data analysis algorithm; according to the observation case The sensor filters most of the observation data, and performs the data analysis algorithm with the filtered data to obtain an analysis result. The data processing method of the social media environment of claim 1, wherein the sensor further comprises at least one visual analysis characteristic parameter, the method further comprising the steps of: analyzing the characteristic parameter according to the visual selected by the user, The analysis results are converted into a visual presentation interface. The data processing method of the social media environment of claim 1, the method further comprising the steps of: storing the observed case as a default template. The method for processing a social media environment according to claim 3, the method further comprising: executing a set of template mode; enabling a newly added observation case to directly use a stored preset template; using the preset template The sensor in the field filters most observations and performs data analysis algorithms to quickly generate a visual presentation interface. A data processing system for a social media environment, comprising a cloud server, the cloud server comprising: a data receiving unit for receiving a majority of data, parameter signals and instructions; a data cluster module, and receiving the data The unit is connected to store a plurality of observation data; a sensor cluster module includes at least one sensor having an analysis characteristic parameter, the sensor includes at least one data analysis algorithm; and a sensor data processing module The group is respectively connected to the data cluster module and the sensor cluster module, and receives most observation data in the data cluster module and analysis characteristic parameters of the sensor; an observation case management module Connected to the data receiving unit, the data cluster module, and the sensor cluster module, the observed case management module receives most of the parameter signals and commands transmitted by the data receiving unit, and respectively according to the majority parameter signals and instructions. The data cluster module performs data exchange, sets the number of sensors of the sensor cluster module and the analysis characteristic parameters thereof; When the observation case management module receives most of the data, parameter signals and instructions of an observation case, and obtains corresponding observation data in the data cluster module, the sensor data processing module performs most of the observation data. Screening and performing the data analysis algorithm with the filtered data to obtain an analysis result. The data processing system of the social media environment of claim 5, the sensor data processing module includes a data pre-selection unit, a data analysis unit, and a visualization unit, and the data pre-selection unit performs preliminary on most observation data. Data screening, the filtered data is calculated by a preset or newly added data analysis algorithm in the data analysis unit to obtain the analysis result, and the visualization unit analyzes the characteristic parameter according to a visual analysis. The result is converted into a visual presentation interface. The data processing system of the social media environment described in claim 6, the data cluster module is mainly composed of more than one data set, and is used for classifying and storing most observation data. The data processing system of the social media environment of any one of claims 5 to 7, further comprising a parameter preset module, wherein the parameter preset module is respectively associated with the sensor data processing module, The observation case management module is connected to receive the analysis characteristic parameters of the sensor in the sensor data processing module, the majority information of the observation case management module, the parameter signal and the instruction, etc., to store an expert experience. Pre-set template. The data processing system of the social media environment of claim 8, further comprising one or more electronic devices and a plurality of social media, wherein the cloud server is connected to the electronic device through the network, and is connected to the network through the network. The social media exchanges data; the electronic device is a digital television, a tablet computer, a smart phone, a notebook computer or a desktop computer. A data processing system for a social media environment mainly provides a community observation platform by a cloud server, and the cloud server includes: an establishment of an observation case interface for inputting a majority of data, parameter signals and instructions of an observation case, etc. Related information; a sensor setting interface, comprising at least one sensor having an analysis characteristic parameter, the sensor comprising at least one data analysis algorithm and at least one visual analysis characteristic parameter, and setting a majority of the observation data through setting Screening, and performing the data analysis algorithm with the filtered data to obtain an analysis result; a chart analysis interface, the above-mentioned sensor performs data analysis algorithm data to generate a visual presentation interface. The data processing system of the social media environment of claim 10, further comprising a parameter preset template interface, and all relevant information such as analysis characteristic parameters, majority data, parameter signals, and instructions are paged by an observation case template. And a sensor template page to present the data content, and can also repeat the parameter setting adjustment. A computer program product for loading a program via a computer to perform a data processing method of a social media environment as claimed in any one of claims 1 to 4.