Ritesh Srivastava

Work place: Computer Engineering Division, NSIT, Delhi University, New Delhi-INDIA

E-mail: ritesh21july@gmail.com


Research Interests: Computational Learning Theory, Natural Language Processing, Information Systems, Data Mining, Information Retrieval, Data Structures and Algorithms, Information Theory


Mr. Ritesh Srivastava obtained his B.E. degree from Agra University, Agra, India and M.Tech degree from Netaji Subhas Institute of Technology (NSIT), University of Delhi (DU), New Delhi in Computer Science & Engineering. Currently, he is pursuing Ph.D. from NSIT, (University of Delhi), New Delhi. He has about ten years of teaching & research experience. His research areas include Machine Learning (ML), Data Stream Mining, Text Mining, Information Retrieval (IR) and Natural Language Processing (NLP). He is a member of various professional bodies and SIGs like IEEE, ACM, ACM-SIGKDD, Big Data Community.

Author Articles
Challenges with Sentiment Analysis of On-line Micro-texts

By Ritesh Srivastava M.P.S. Bhatia

DOI: https://doi.org/10.5815/ijisa.2017.07.04, Pub. Date: 8 Jul. 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. On-line 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 Micro-texts.

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