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SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods [article]

Filipe Nunes Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Fabrício Benevenuto, Marcos André Gonçalves
2016 arXiv   pre-print
This article aims at filling this gap by presenting a benchmark comparison of twenty-four popular sentiment analysis methods (which we call the state-of-the-practice methods).  ...  Accordingly, there is a strong need to conduct a thorough apple-to-apple comparison of sentiment analysis methods, as they are used in practice, across multiple datasets originated from different data  ...  We do this by providing a thorough benchmark comparison of twenty-four state-of-the-practice methods using eighteen labeled datasets.  ... 
arXiv:1512.01818v5 fatcat:t4di65blxvhgnptmybb756q4ce

SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

Filipe N Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Marcos André Gonçalves, Fabrício Benevenuto
2016 EPJ Data Science  
This article aims at filling this gap by presenting a benchmark comparison of twenty-four popular sentiment analysis methods (which we call the state-of-the-practice methods).  ...  Accordingly, there is a strong need to conduct a thorough apple-to-apple comparison of sentiment analysis methods, as they are used in practice, across multiple datasets originated from different data  ...  Acknowledgements This work was partially funded by projects InWeb (grant MCT/CNPq 573871/2008-6) and MASWeb (grant FAPEMIG/PRONEX APQ-01400-14), and by the authors' individual grants from CNPq, CAPES and  ... 
doi:10.1140/epjds/s13688-016-0085-1 fatcat:skxxpqhquzgdxkwaqm5daucncu

MOESM1 of SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

Filipe Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Marcos André Gonçalves, Fabrício Benevenuto
2017 Figshare  
Full results of prediction performance. In the this file, we present the full results of prediction performance of all twenty-four sentiment analysis methods on all labeled datasets. (pdf)  ...  Table 5 : 5 2-classes experiments results with 2 datasets Dataset Method Accur. Posit. Sentiment Negat.  ...  Sentiment Negat. Sentiment Neut.  ... 
doi:10.6084/m9.figshare.c.3698806_d1.v1 fatcat:jpz2lly3ufcnxn6robv2sk6u24

Data Mining Approach of Text Classification and Clustering of Twitter Data for Business Analytics

P. Meghanasree, S. Gopi Krishna
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
In this paper selected a popular food brand to evaluate a given stream of customer comments on Twitter. Several metrics in classification and clustering of data were used for analysis.  ...  A Twitter API is used to collect twitter corpus and feed it to a classifier algorithm that will discover the polarity lexicon of English tweets, whether positive or negative.  ...  Benevenuto, "SentiBench -a benchmark comparison of state-of-thepractice sentiment analysis "Sentiment analysis algorithms and  ... 
doi:10.32628/cseit195429 fatcat:fabq4ttwo5aitixc6sco4n376m

Peer Reviewing Revisited: Assessing Research with Interlinked Semantic Comments [article]

Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin
2019 arXiv   pre-print
In fact, many have pointed out serious flaws of current scientific publishing practices, including the lack of accuracy and efficiency of the reviewing process.  ...  In general, our analysis shows that our model is well understood and easy to apply, and it revealed the semantic properties of such review comments.  ...  The Current Peer Review System is Unsustainable- [33] Filipe N. et al. Ribeiro. 2016. SentiBench - a benchmark comparison of state-of- Awaken the Paid Reviewer Force!  ... 
arXiv:1910.03218v1 fatcat:lk6hauxucvbtphlm6s6pvipcoq