Techniques and applications for sentiment analysis: The main applications and challenges of one of the hottest research areas in computer science

Ronen Feldman*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1057 Scopus citations

Abstract

The decision-making process of people is affected by the opinions formed by thought leaders and ordinary people. When a person wants to buy a product online he or she will typically start by searching for reviews and opinions written by other people on the various offerings. Sentiment analysis is one of the hottest research areas in computer science. The heating and air conditioning functioned well; this was good as the weather was variable. The king size bed was very comfortable. The building and rooms are very well soundproofed. The neighborhood is the best for shopping, restaurants, and access to subway. The documents in this corpus are converted to text and are pre-processed using a variety of linguistic tools such as stemming, tokenization, part of speech tagging, entity extraction, and relation extraction. The system may also utilize a set of lexicons and linguistic resources. The main component of the system is the document analysis module, which utilizes the linguistic resources to annotate the pre-processed documents with sentiment annotations.

Original languageAmerican English
Pages (from-to)82-89
Number of pages8
JournalCommunications of the ACM
Volume56
Issue number4
DOIs
StatePublished - Apr 2013

Fingerprint

Dive into the research topics of 'Techniques and applications for sentiment analysis: The main applications and challenges of one of the hottest research areas in computer science'. Together they form a unique fingerprint.

Cite this