Opinion Retrieval for Twitter Using Extrinsic Information
Views: 365
Author : Yoon-Sung Kim, Young-In Song, Hae-Chang Rim
Affiliation : Korea University
Country : Republic of Korea
Category : Computer Science & Information Technology
Volume, Issue, Month, Year : 22, 5, June, 2016
Abstract :
Opinion retrieval in social networks is a very useful field for industry because it can provide a facility for monitoring opinions about a product, person or issue in real time. An opinion retrieval system generally retrieves topically relevant and subjective documents based on topical relevance and a degree of subjectivity. Previous studies on opinion retrieval only considered the intrinsic featu
Keyword : opinion mining, opinion retrieval, sentiment analysis, social media
URL : http://www.jucs.org/jucs_22_5/opinion_retrieval_for_twitter/jucs_22_05_0608_0629_kim.pdf
User Name : jacob
Posted 13-10-2016 on 06:25:54 AEDT
Related Research Work
- Using Image Processing Techniques To Increase Safety In Shooting Ranges
- Low-cost Digital Data Transmission Technique Using Fm-rds Protocol For The Agricultural Sector In Developing Countries
- A Study On An Integrated Framework For Copyright Protection On Nft
- A Context-aware Mobile App To Support Early Disease Detection And Education Using Gpt-4 And Visual Symptom Surveys