Sentiment Analysis of Social Network Comments in Uzbek Language (Building an Emotional Vocabulary Database)

Computational linguistics is a new field in Uzbek linguistics, which means that there is still a lot of research to be done. We are excited to tackle some of the most important tasks in this field, including developing a morphological analyzer, solving syntactic problems, opening and solving semantic problems, and creating a sentiment analysis analyzer. Forming a base of emotional-expressive words is a small but important step toward the big goals mentioned above. Building this linguistic resource is an amazing opportunity for us to improve semantic parsing, make the parser work correctly, make machine translation fluent, and achieve many other valuable purposes. Building a database of emotional expressive words in computational linguistics offers several valuable advantages. In particular, the thematic system- izing of large volumes of data in social networks allows for emotional classification, which is a truly exciting prospect.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/ubmk63289.2024.10773536
Citations
1
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.35
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article

Sentiment Analysis of Social Network Comments in Uzbek Language (Building an Emotional Vocabulary Database)

Saboxat Allanazarova
1 citations
Sentiment Analysis and Opinion Mining
0.35
article

Sentiment Analysis of Social Network Comments in Uzbek Language (Building an Emotional Vocabulary Database)

Saboxat Allanazarova
article en
1 citations

Abstract

Computational linguistics is a new field in Uzbek linguistics, which means that there is still a lot of research to be done. We are excited to tackle some of the most important tasks in this field, including developing a morphological analyzer, solving syntactic problems, opening and solving semantic problems, and creating a sentiment analysis analyzer. Forming a base of emotional-expressive words is a small but important step toward the big goals mentioned above. Building this linguistic resource is an amazing opportunity for us to improve semantic parsing, make the parser work correctly, make machine translation fluent, and achieve many other valuable purposes. Building a database of emotional expressive words in computational linguistics offers several valuable advantages. In particular, the thematic system- izing of large volumes of data in social networks allows for emotional classification, which is a truly exciting prospect.

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Openalex Percentile: Top 31%
Sentiment Analysis and Opinion Mining
0.35
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