Social Media Sentiment Analysis Using Deep Learning Approach

M. Mohamed Iqbal*, K. S. Arikumar, Balaji Vijayan Venkateswaralu, S. Aarif Ahamed

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Compared to more traditional social media channels, Facebook and Twitter are far more effective at spreading information. Social media has developed into a great data origin for businesses or researchers to create models to analyse this repository and harvest practical insights for marketing policy for word-of-mouth (WOM) trading. However, the vocabulary used in social media is rather condensed and includes specialised words and symbols. Such brief communications are not well suited for the majority of natural language processing (NLP) techniques, which concentrate on processing formal phrases. In this paper, we suggest a brand-new paradigm for social media sentiment analysis based on deep learning models. We gather information from which we create a dataset. We aim to create a semantic dataset after processing these particular phrases in order to support future study. Future applications will benefit greatly from the retrieved data. Several social media platforms have been crawled to gather the trial data.

Original languageEnglish
Title of host publicationIntelligent Systems and Machine Learning - 1st EAI International Conference, ICISML 2022, Proceedings
EditorsSachi Nandan Mohanty, Vicente Garcia Diaz, G.A.E. Satish Kumar
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783031350771
Publication statusPublished - 2023
Externally publishedYes
Event1st EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022 - Hyderabad, India
Duration: 16 Dec 202217 Dec 2022

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume470 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X


Conference1st EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022


  • Sentiment analysis
  • deep learning
  • social network


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