A review of natural language processing techniques for opinion mining systems
S Sun, C Luo, J Chen - Information fusion, 2017 - Elsevier
As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …
approach to analyzing so many data. Various applications appear in a wide range of …
[BOOK][B] Sentiment analysis and opinion mining
B Liu - 2022 - books.google.com
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
Fast approximate energy minimization via graph cuts
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. A
common constraint is that the labels should vary smoothly almost everywhere while …
common constraint is that the labels should vary smoothly almost everywhere while …
Techniques and applications for sentiment analysis
R Feldman - Communications of the ACM, 2013 - dl.acm.org
Techniques and applications for sentiment analysis Page 1 82 communicAtionS of the Acm |
APrIl 2013 | vOl. 56 | nO. 4 review articles Doi:10.1145/2436256.2436274 The main …
APrIl 2013 | vOl. 56 | nO. 4 review articles Doi:10.1145/2436256.2436274 The main …
A survey of opinion mining and sentiment analysis
Sentiment analysis or opinion mining is the computational study of people's opinions,
appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and …
appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and …
[BOOK][B] Sentiment analysis: Mining opinions, sentiments, and emotions
B Liu - 2020 - books.google.com
Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …
moods, and attitudes. This fascinating problem offers numerous research challenges, but …
Mine your own business: Market-structure surveillance through text mining
Web 2.0 provides gathering places for Internet users in blogs, forums, and chat rooms.
These gathering places leave footprints in the form of colossal amounts of data regarding …
These gathering places leave footprints in the form of colossal amounts of data regarding …
Exploiting user experience from online customer reviews for product design
Understanding user experience (UX) becomes more important in a market-driven design
paradigm because it helps designers uncover significant factors, such as user's preference …
paradigm because it helps designers uncover significant factors, such as user's preference …
Latent aspect rating analysis without aspect keyword supervision
Mining detailed opinions buried in the vast amount of review text data is an important, yet
quite challenging task with widespread applications in multiple domains. Latent Aspect …
quite challenging task with widespread applications in multiple domains. Latent Aspect …
Deriving market intelligence from microblogs
YM Li, TY Li - Decision Support Systems, 2013 - Elsevier
Given their rapidly growing popularity, microblogs have become great sources of consumer
opinions. However, in the face of unique properties and the massive volume of posts on …
opinions. However, in the face of unique properties and the massive volume of posts on …