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.
Authors
- Saboxat Allanazarova
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