Social Media Monitoring

日期 : Sep 2016 - Jul 2017

1.3. Objective of the application The objective of this project is to provide an application which works on twitter to find out the latest tweets and search what the influential people are tweeting about and the followers of the influential people. Location from where the most of the tweets are generating and show them via heat map. It shows the negativity and positivity of the tweet. Reports generation is the module showing most popular tweets and the trending topics. 1.4. Feasibility analysis 1.4.1. Technical feasibility • Python The Proposed project will be performed using Python .Python is easy to use. Python programs can construct and execute program fragments on the fly. Python’s standard library supports JSON that is helpful for our project. Python contains more API supports. • Flask The interface of the proposed project is made through HTML, PHP, CSS, Bootstrap and JavaScript. Flask is the mean which works as a bridge between Python and PHP, HTML etc. • Mongo DB NOSQL (Mongo DB) will be used for twitter json files. It is a document database. The data that is downloaded from a twitter API will be saved in Mongo DB that is non-relational database. Mongo DB saves the data in json format. Continuously the streaming data is saved in Mongo DB. Mongo DB is used for Big Data. From Mongo DB we collect the data for analyzing the twitter. • Twitter API(tweepy library): Twitter data is accessible through Twitter API using tweepy library. We can download 18000 tweets in JSON format in 15 minutes. After 15 minutes it stops for few minutes and we can download more for 15 minutes. Using tweepy library we can create GeoJSON file, which converts geographic location of the user onto the map. • Heat map API(plotly library ) Heat map API can visualize data on map using plotly library. A map a heat map is a representation of density of latitude and longitude points on a map. Heat map API creates heat map images that can overlay on maps in...