SENTIMENT ANALYSIS IN DIFFERENT TYPES OF ENGLISH AND UZBEK BUSINESS MEDIA TEXTS

Authors

  • Annaguliyev Jamshid Institution of Termiz Agro-Technologies and Innovative Development Teacher

Keywords:

decision-making, brands, SMS massages, Blog posts, Tweets, Facebook posts, Telegram, Customer reviews.

Abstract

Sentiment analysis is a natural language processing technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs. Learn more about how sentiment analysis works, its challenges, and how you can use sentiment analysis to improve processes, decision-making, customer satisfaction and more. Once you’re familiar with the basics, get started with easy-to-use sentiment analysis tools that are ready to use right off the bat.

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Published

2022-10-20

Issue

Section

Articles

How to Cite

SENTIMENT ANALYSIS IN DIFFERENT TYPES OF ENGLISH AND UZBEK BUSINESS MEDIA TEXTS. (2022). Archive of Conferences, 129-131. https://conferencepublication.com/index.php/aoc/article/view/2195