Understanding the Impact of Text Analytics on Social Media Sentiment Analysis

Authors

  • Dip Bharatbhai Patel   University of North America, Virginia, United States of America

DOI:

https://doi.org/10.32628/CSEIT1936413

Keywords:

Text Analytics, Social Media, Sentiment Analysis, Natural Language Processing, Machine Learning, Public Opinion, Data Mining

Abstract

Social media sentiment analysis has emerged as a powerful tool for understanding public opinion, influencing marketing strategies, and shaping decision-making in various industries. The integration of text analytics into this domain has significantly enhanced the ability to process and analyze vast amounts of unstructured data from platforms like Twitter, Facebook, and Instagram. This paper explores the transformative impact of text analytics on social media sentiment analysis by examining methodologies, tools, and real-world applications. We delve into natural language processing (NLP) techniques, machine learning models, and their integration into automated sentiment analysis systems. The discussion also highlights key challenges, including language ambiguity, cultural context, and data volume, and proposes solutions to overcome these issues. Furthermore, the study underscores the role of sentiment analysis in industries such as marketing, politics, and customer service. By showcasing the potential of text analytics to derive actionable insights from social media data, this paper aims to provide a comprehensive understanding of its capabilities and limitations. Future directions for research and technological advancements in this field are also discussed, paving the way for more accurate and scalable sentiment analysis solutions.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-09-30

Issue

Volume 5, Issue 5, September-October-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dip Bharatbhai Patel , " Understanding the Impact of Text Analytics on Social Media Sentiment Analysis" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 5, pp.280-284, September-October-2019. Available at doi : https://doi.org/10.32628/CSEIT1936413