Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Sentiment Analysis Using Computer-Assisted Text Analysis Tools

Authors
Saroj S. Date1, *, Kiran V. Sonkamble1, Sachin N. Deshmukh1
1Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, MS, India
*Corresponding author.
Corresponding Author
Saroj S. Date
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_58How to use a DOI?
Keywords
sentiment analysis; computer-assisted text analysis (CATA) tools; computer-aided text analysis software; text data analysis; LIWC; Empath; content analysis
Abstract

Recently the use of computerized text analysis tools to assess an individual’s linguistic, emotional and psychological characteristics has exploded in the field of empirical psychology. As a result, information about what people convey through their words can be swiftly and reliably extracted and analyzed. The key purpose of this research work is to analyze text data to assess linguistic and emotional characteristics with the help of computer-assisted text analysis tools. The analysis employed widely available text and sentiment analysis tools, Empath and LIWC. As text data, children’s storybook reviews were analyzed in this work. These reviews are written by the children for the children. Empath and LIWC tools helped to measure the reviewer’s sentiment, analytical ability and cognition level. Finally, by calculating the Pearson correlation coefficient for the selected variables, it is inferred that Empath shares a high correlation with LIWC.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_58How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Saroj S. Date
AU  - Kiran V. Sonkamble
AU  - Sachin N. Deshmukh
PY  - 2023
DA  - 2023/05/01
TI  - Sentiment Analysis Using Computer-Assisted Text Analysis Tools
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 671
EP  - 679
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_58
DO  - 10.2991/978-94-6463-136-4_58
ID  - Date2023
ER  -