A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods

By Filipe Nunes Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Marcos André Gonçalves, Fabrício Benevenuto. arXiv.org, 2015

353 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/254e7d3525951d2360a598f75678657282b1fa02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Isaac L. Johnson
2. Júlio Cesar dos Reis
3. Haewoon Kwak
4. Mark Diaz
5. Alireza Alaei
6. Fabrício Benevenuto
7. Susanne Becken
8. Jisun An

Citations in the corpus

• Addressing Age-Related Bias in Sentiment Analysis (2018, methodology): “We perform our analysis using fifteen popular sentiment analysis tools used in practice (Table 1 describes the tools and associated annotations that we use) [62].”
• Demographics of News Sharing in the U.S. Twittersphere (2017, background): “Since it has been proposed, it has been widely used for a number of different tasks, including sentiment analysis [35] and discourse characterization in social media platforms [15].”
• Sentiment Analysis in Tourism: Capitalizing on Big Data (2019, methodology): “Opinion mining based on sentiment orientation was studied in recent years to understand perceptions and characteristics of population or market groups, and to determine the credibility of content and motivations for posting reviews (Ribeiro et al., 2016).”