Abstract:
Opinions are central to almost all human activities. Therefore, inspecting them are of great importance to better understand and gain an overview of the wider public opinion behind certain topics. TweetInspector, as the name suggests, is a sentiment analyzer specifically developed for Twitter since Twitter is filled with public opinions. It mainly focuses on tweet and the sentiments it contains. It contains various features including keywordbased sentiment analysis, trending topic analysis, analysis of general text, summary generator for trend and some other. TweetInspector visualizes data by generating graphs and charts to better understand the statistics. To structure this application we have used Machine Learning techniques programmed with C#. This system will be established on Windows platform primarily targeted towards the desktop. TweetInspector is a a desktop application which lets users search topic, find related tweets and the sentiments of tweets. Moreover, the user can analyze any trending topics and find the number of tweets and sentiments inside the trending topic and also provide real time feedback to any tweet. 3
