Healthcare |
Korkontzelos et al. [2020 Korkontzelos I, Nikfarjam A, Shardlow M, Sarker A, Ananiadou S, Gonzalez GH. Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. J. Biomed. Inform. 2016 Aug 1;62:148-58.] |
Drug |
Twitter and Daily Strength |
The objective was to explore the impact of incorporating SA features on the identification and differentiation of ADR mentions and indication mentions. |
Na et al [1010 Na JC, Kyaing WY, Khoo CS, Foo S, Chang YK, Theng YL. Sentiment classification of drug reviews using a rule-based linguistic approach. InThe Outreach of Digital Libraries: A Globalized Resource Network: 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Taipei, Taiwan, November 12-15, 2012, Proceedings 14 2012 (pp. 189-198). Springer Berlin Heidelberg.] |
Health and Medical |
Discussion forum DrugLib.com |
To create a proficient approach for sentiment analysis (SA) of social media content in the domains of health and medicine. |
Financial |
Tetlock [2222 Tetlock PC. Giving content to investor sentiment: The role of media in the stock market. The J. Financ. 2007 Jun;62(3):1139-68.] |
Stock Market |
Wall Street Journal |
To determine if there is a correlation between news industry content and variation in the stock market's overall performance. |
Tetlock [2323 Tetlock PC, Saar‐Tsechansky M, Macskassy S. More than words: Quantifying language to measure firms' fundamentals. The J. Financ. 2008 Jun;63(3):1437-67.] |
Stock Market |
Wall Street Journal and Dow Jones News Service |
The goal is to make predictions for both accounting earnings and stock returns of firms. |
Jaiwang and Jeatrakul [2424 Jaiwang G, Jeatrakul P. A forecast model for stock trading using support vector machine. In2016 International Computer Science and Engineering Conference (ICSEC) 2016 Dec 14 (pp. 1-6). IEEE.] |
Stock Market |
Stock Exchange of Thailand |
The objective is to develop a highly accurate prediction model for the buying and selling points of stocks, using a SVM model for forecasting. |
Politics |
Agarwal and Mittal [88 Agarwal B, Mittal N. Prominent feature extraction for review analysis: an empirical study. J. Exp. Theor. Artif. Intell. 2016 May 3;28(3):485-98.] |
Political preference of public |
Twitter |
To analyze the citizen’s political preferences using Twitter data. |
Basarslan and Kayaalp [99 Basarslan MS, Kayaalp F. Sentiment analysis with machine learning methods on social media.] |
Policy making and Electoral campaign |
Faculty weblogs |
To apply SA on blog comments by integrating supervised and unsupervised ML techniques. |
Reviews |
Kim et al. [1212 Kim D, Kim D, Hwang E, Choi HG. A user opinion and metadata mining scheme for predicting box office performance of movies in the social network environment. New review of hypermedia and multimedia. 2013 Dec 1;19(3-4):259-72.] |
Product Review |
Amazon |
To leverage external evidence and the linguistic conventions inherent in natural language expressions. |
Kharde and Sonawane [77 Kharde V, Sonawane P. Sentiment analysis of twitter data: a survey of techniques. arXiv preprint arXiv:1601.06971. 2016 Jan 26.] |
Movie |
YouTube and IMDb website |
To forecast a movie's box office success by analyzing user comments on its trailer and examining the promotional materials associated with the film on social media platforms. |
Others |
Schumaker et al. [2828 Schumaker RP, Jarmoszko AT, Labedz Jr CS. Predicting wins and spread in the Premier League using a sentiment analysis of twitter. Decision Support Systems. 2016 Aug 1;88:76-84.] |
Sports |
Twitter |
To predict the match outcomes in the English Premiere League by analysing the sentiment in the tweets |
Taylor et al. [2929 Marrese-Taylor E, Velásquez JD, Bravo-Marquez F. A novel deterministic approach for aspect-based opinion mining in tourism products reviews. Expert systems with applications. 2014 Dec 1;41(17):7764-75.] |
Tourism |
Trip Advisor |
To suggest a method for sentiment analysis that focuses on specific aspects of tourism product reviews. |
Chung and Zeng [3030 Chung W, Zeng D. Social‐media‐based public policy informatics: Sentiment and network analyses of US Immigration and border security. JASIST. 2016 Jul;67(7):1588-606.] |
Border Security |
Twitter |
To analyse the US border security and immigration policy using tweets of community activists, influential users and leaders. |
Jiang et al. [3131 Jiang H, Lin P, Qiang M. Public-opinion sentiment analysis for large hydro projects. J. Constr. Eng. 2016 Feb 1;142(2):05015013.] |
Construction Project |
Weibo.com |
To scrutinize the perspective of public towards the hydro project. |
Zavattaro et al. [3232 Zavattaro SM, French PE, Mohanty SD. A sentiment analysis of US local government tweets: The connection between tone and citizen involvement. Government information quarterly. 2015 Jul 1;32(3):333-41.] |
Government |
Twitter |
To determine whether the citizen’s opinion can impact their involvement with the government through social media |
Stavrianou and Brun [3333 Stavrianou A, Brun C. Expert recommendations based on opinion mining of user‐generated product reviews. Comput. Intell. 2015 Feb;31(1):165-83.] |
Marketing and Sales |
Epinion.com |
to introduce an expert recommender system that can analyze customer reviews, extract sentiments, compare products and their reviews, and make recommendations based on the findings. |
Li and Wu [3434 Li N, Wu DD. Using text mining and sentiment analysis for online forums hotspot detection and forecast. Expert Syst. Appl. 2010 Jan 1;48(2):354-68.] |
Location and Forecasting |
Sina Sports |
To examine the hotspot detection on web-based gatherings and foster a gauge through SA and text-mining. |