TY  - BOOK
AU  - Ayesha Amir
TI  - Sentiment Analysis Of Sindh Drama And Movie Reviews Using Machine Learning(MSIT)
PY  - 2023///
CY  - QUEST
PB  - Nawabshah
KW  - Department Of Information Technology
N2  - ABSTRACT

Sentiment analysis is a natural language processing (NLP) technique that involves the analysis of text data to identify and extract subjective information such as opinions, attitudes, and emotions [1]. In the context of Sindhi dramas and movies, sentiment analysis can be used to analyze the reviews and feedback provided by audiences to understand their sentiment towards these productions. The significance of sentiment analysis in the context of Sindhi dramas and movies is multi-fold. Firstly, sentiment analysis can provide valuable insights into the audience's likes and dislikes. By analyzing the reviews and feedback, producers can understand which elements of the productions resonated with the audience and which did not. This information can then be used to create better productions that cater to the audience's preferences. Secondly, sentiment analysis can be used to analyze the performance of a particular production By analyzing the reviews and feedback, producers can understand how the production was received by the audience. This information can be used to improve future productions or marketing campaigns. Thirdly, sentiment analysis can be used for competitive analysis. By analyzing the reviews and feedback of different Sindhi dramas and movies, producers can understand the competition and make informed decisions about future productions. In general, sentiment analysis is a crucial method for determining the attitudes and feelings of viewers toward Sindhi dramas and films. It provides valuable insights that can be used to improve content, marketing, and overall audience satisfaction. Furthermore, it will help content creators, producers, distributors, and advertisers to improve their strategies and create more engaging and successful entertainment content
ER  -