Sentiment Analysis
Sunil Kumar ()
Chapter Chapter 17 in Python for Accounting and Finance, 2024, pp 265-300 from Springer
Abstract:
Abstract Sentiment analysis is a popular technique used in natural language processing and machine learning to automatically identify and extract subjective information from text data. It involves analyzing and categorizing opinions, emotions, and attitudes expressed in text, which can help researchers to gain insights into the opinions and sentiments of individuals or groups on various topics.
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-54680-8_17
Ordering information: This item can be ordered from
http://www.springer.com/9783031546808
DOI: 10.1007/978-3-031-54680-8_17
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().