sentiment analysis
use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials
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sentiment analysis
Summary
sentiment analysis is a field of work[1]. It has Wikipedia articles in 19 language editions, a strong signal of global cultural recognition.[2]
Key Facts
- sentiment analysis's instance of is recorded as field of work[3].
- sentiment analysis is a type of affective computing[4].
- sentiment analysis is a type of natural language processing[5].
- sentiment analysis is used for marketing[6].
- sentiment analysis's Commons category is recorded as Sentiment analysis[7].
- sentiment analysis's Stack Exchange tag is recorded as https://datascience.stackexchange.com/tags/sentiment-analysis[8].
- sentiment analysis's Stack Exchange tag is recorded as https://stackoverflow.com/tags/sentiment-analysis[9].
- sentiment analysis's ACM Classification Code is recorded as 10003353[10].
- sentiment analysis's uses is recorded as natural language processing[11].
- sentiment analysis's studied by is recorded as natural language processing[12].
Why It Matters
sentiment analysis has Wikipedia articles in 19 language editions, a strong signal of global cultural recognition.[2] It is known by 14 alternative names across languages and contexts.[13]