In recent years, social media streams have represented vast amounts of insightful information that can be used by organisations and users to understand trends and users’ perceptions and help in making informed decisions. There is an increasing research and development trend toward developing algorithms and tools to analyse such data and support organisations and users alike in developing and delivering better services to customers or use the information to themselves. In this research-in-progress report, we have proposed a model for analyzing Twitter data. An initial prototype was developed as a web-based application that allows users to search for specific terms on Twitter; the retrieved results are presented and visualised using the forms of a) a interactive web pages, using different JS and CSS, and b) bar graphs. This initial prototype will represent the core engine of our project and sentiment social media analysis. -
Motivation and Overview
The rapid increase of social media in the recent years has provided users a platform to voice their opinions. There are many platforms available but the actively used are Facebook, Twitter and Google+. Twitter is an online social networking service that enables users to send and read short 140-character messages called "tweets". Every tweets contains a hash tags with the short messages, users use the hash tags “#” before tweets to categorize the tweets which makes it easy to search. It is also observed that all Indian political party representatives/ political leaders are very much active in Twitter to express their views and opinions. In this work we have taken recent tweets of two major political parties (BJP and Congress) to Analyze the tweet pattern of the respective parties.
Objective
Traditionally, conducting the above analysis
requires the prolonged process of designing, distributing and analysing research. Also,
customers may not take it seriously, making the results unreliable or biased. Nowadays,
people are more willing to share their opinions freely on social media. To contribute to
automating the process and understanding social stream data and to overcome these
challenges, our platform is designed on interpreting
social realities .
The Problem Statement
One potential problem faced by users is to believe the credibility of the source regarding elections. Less than 10 years ago, similar analysis would not have been possible, but due to the rise of social media platforms such as Twitter, which have been conducive in evolving a speech transparency culture, it is now possible to conduct such automated research and gain a
more reliable understanding of a user. As a result of the lack of open source tools that offer similar analytical features, the another aim of this platform is to develop analytical capabilities and services that can offer a comprehensive understanding of the data posted by users on social media websites in order to inform clients of how better to carry out their activities, including product and service design. The rest of the project is designed on the primary use case, that is election parties trasperency.