The objective of the dissertation is to provide a tool which would provide the framework for generating various hidden interesting patterns from twitter data. Social media has become a major platform for information sharing. Due to its openness in sharing data, Twitter is a prime example of social media in which practitioners can mine interesting patterns.
Use Case 1: Text Analysis of extracted tweets : Which starts from the data extraction using the Twitter API, cleaning of data, Extraction of Most Frequent Words, Visualization of data using Word Cloud.
Use Case 2: Calculation of sentimental score of twitter data, extraction of most frequent positive & negative words from twitter data, visualization of data using charts/graphs.
Use Case 3: Location Analytics of extracted tweets, visualization of data using Google Maps using Google APIs.
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