Challenges with Sentiment Analysis of On-line Micro-texts
Ritesh Srivastava, M. P. S. Bhatia · International Journal of Intelligent Systems and Applications · 2017
With the evolution of World Wide Web (WWW) 2.0 and the emergence of many micro-blogging and social networking sites like Twitter, the internet has become a massive source of short textual messages called on-line micro-texts, which are limited to a few number of characters (e.g.140 characters on Twitter).These on-line micro-texts are considered as real-time text streams.Online micro-texts are extremely subjective; they contain opinions about various events, social issues, personalities, and products.However, despite being so voluminous in quantity, the qualitative nature of these micro-texts is very inconsistent.These qualitative inconsistencies of raw on-line micro-texts impose many challenges in sentiment analysis of on-line micro-texts by using the established methods of sentiment analysis of unstructured reviews.This paper presents many challenges and issues observed during sentiment analysis of On-line Microtexts.