An algorithm and method for sentiment analysis using the text and emoticon

Author:

Ullah Mohammad Aman,Marium Syeda Maliha,Begum Shamim Ara,Dipa Nibadita Saha

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference12 articles.

1. Modelling public sentiment in twitter: using linguistic patterns to enhance supervised learning;Chikersal,2015

2. Identifying depressive users in twitter using multimodal analysis;Kang,2016

3. A. Hogenboom, D. Bal, F. Frasincar, M. Bal, F. de Jong, U. Kaymak, Exploiting emoticons in sentiment analysis, in: Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013, pp. 703–710.

4. SentiReview: Sentiment analysis based on text and emoticons;Yadav,2017

5. SemEval-2016 task 4: Sentiment analysis in twitter;Nakov,2019

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