Location Based Sentiment Mapping of Topics Detected in Social Media

Nasir Naveed1, Muhammad Abbas, Zahid Rauf

Abstract


Social media connects people creating a virtual environment where there is no high up to dictate their posts. They feel free to appreciate or criticize the actions of others. Thus social media posts present true reflection of the public feelings over any social event. This sort of intrinsic social media content has great attraction for many stakeholders to explore public reaction on any incident or activity. This paper proposes a technique to visualize location based public sentiment on any event within specific locality. This research work harvests public posts from social media Twitter’s stream; extracts spatial, topical and sentimental information from the posts; performs statistical analysis and maps the results on geographic map. It provides stakeholders an unsupervised, quick and easy way to assess public opinion within a specific area.

Keywords


Social Media Analysis; Sentiment Mapping; Sentiment Classification; Data Mining; Social Media Topic Analysis

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