A SURVEY PAPER ON TWITTER DATA ANALYSIS FOR TERRORIST ATTACKS AND VARIOUS ASPECTS

Computer Engineering

The rapid and tremendous usage of online social platforms such as Facebook, Instagram, Twitter and Others, new APIs are made available for gathering the various social platform information for data collection. Among the all the major social platform the microblogging site Twitter is the most popular one. Twiter APIs allows multiple users to access complete data from Twitter hashtags, accessing to tweets and fetching other useful information such as user tweets and profiles. We are accessing the data from twitter hashtags for analysing the tweets relevant to the terrorism so as to check if any account is associated to terrorist activity in any way. The proposed system makes use for POS tagging for removing the stop words and thereby making the words semantically meaningful. The remaining words are then matched with the synthetic meta-dictionary for terrorism related words. This information gets updated only on a demand basis. The proposed system makes the system robust by not accepting only semantic words but also dynamically written sentences related to terrorism, as the file is make use of contains the complete dataset of terrorism related words.

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