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A Comparative Study of Machine Translation for Multilingual Sentence-level Sentiment Analysis

Matheus Araújo, Adriano Pereira, Fabrício Benevenuto
2019 Information Sciences  
As a final contribution to the research community, we release our codes, datasets, and the iFeel 3.0 system, a web framework for multilingual sentence-level sentiment analysis.  ...  To do it, we evaluated sixteen methods for sentence-level sentiment analysis proposed for English, comparing them with three language-specific methods.  ...  ., and Benevenuto, F. (2014). ifeel: a system that compares and combines sentiment analysis methods. In Proceedings of the 23rd International Conference on World Wide Web, pages 75--78. ACM.  ... 
doi:10.1016/j.ins.2019.10.031 fatcat:tle7kqohzrgdji54qpgsqi2b5i

Comparing and combining sentiment analysis methods

Pollyanna Gonçalves, Matheus Araújo, Fabrício Benevenuto, Meeyoung Cha
2013 Proceedings of the first ACM conference on Online social networks - COSN '13  
We also present a free Web service called iFeel, which provides an open API for accessing and comparing results across different sentiment methods for a given text.  ...  We develop a new method that combines existing approaches, providing the best coverage results and competitive agreement.  ...  This work was funded by the Brazilian National Institute of Science and Technology for the Web (MCT/CNPq/INCT grant number 573871/2008-6) and grants from CNPq, CAPES and FAPEMIG. This  ... 
doi:10.1145/2512938.2512951 dblp:conf/cosn/GoncalvesABC13 fatcat:pchkf2orqrg4pmdgg6bix2msti

Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance

Julie Pain, Jessie Levacher, Adam Quinquenel, Anja Belz
2016 Workshop on Noisy User-generated Text  
We find that generic tools perform well for tweet-level language identification and tweet-level sentiment analysis (both 0.94 F1-Score).  ...  Among other things, our results indicate that MetaMap semantic types provide a very promising basis for identifying drug effect mentions in tweets.  ...  Tweet-level sentiment analysis achieved a best result of 0.94 weighted average F1-Score (Emoticons method).  ... 
dblp:conf/aclnut/PainLQB16 fatcat:4c67if5oy5fyxgnfeaelck54gq

Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos [article]

Moisés H. R. Pereira, Flávio L. C. Pádua, Adriano C. M. Pereira, Fabrício Benevenuto, Daniel H. Dalip
2016 arXiv   pre-print
This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents.  ...  Experimental results with a dataset containing 520 annotated news videos from three Brazilian and one American popular TV newscasts show that our approach achieves an accuracy of up to 84% in the sentiments  ...  PROPESQ-023-076/09, and of CAPES-Brazil.  ... 
arXiv:1604.02612v1 fatcat:5os2pisuwfejpftol44rkc3f5m

Online Crowds Opinion-Mining it to Analyze Current Trend: A Review

Haritha Akkineni, P.V.S Lakshmi, B.Vijaya Babu
2015 International Journal of Electrical and Computer Engineering (IJECE)  
This study presents a systematic literature review that contains a comprehensive overview of components of opinion mining, subjectivity of data, sources of opinion, the process and how does it let one  ...  Research challenges and different applications that were developed with the motive opinion mining are also discussed.  ...  IFeel: It is a web application that that detects sentiments in any form of text including unstructured social media data. A combined Method was developed.  ... 
doi:10.11591/ijece.v5i5.pp1180-1187 fatcat:qevnilefdjf3zdz44nk4wgti5m

Peer Reviewing Revisited

Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin
2019 Proceedings of the 10th International Conference on Knowledge Capture - K-CAP '19  
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.  ...  Our contributions include a novel model called Linkflows that allows for such detailed and semantically rich representations of reviews and the reviewing processes.  ...  ACKNOWLEDGMENTS The authors thank IOS Press and the Netherlands Institute for Sound and Vision, who partly funded this research.  ... 
doi:10.1145/3360901.3364434 dblp:conf/kcap/BucurKC19 fatcat:ev2l5kpfhnhbna4g3fyb76jura

Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis

Jasper Feine, Stefan Morana, Ulrich Gnewuch
2019 International Conference on Wirtschaftsinformatik  
To address this challenge, we investigate the application of automated sentiment analysis methods as a proxy to measure CSES. Therefore, we first compare different sentiment analysis methods.  ...  The paper contributes by proposing and applying an automatic and objective approach to use sentiment scores as a proxy to measure CSES.  ...  In the first step, we compared all selected sentiment methods because the accuracy of sentiment analysis method are highly context and data dependent.  ... 
dblp:conf/wirtschaftsinformatik/FeineMG19 fatcat:7ffu5tv7kjc5vpq5vf5qg52fai

Approaches, Tools and Applications for Sentiment Analysis Implementation

Alessia D'Andrea, Fernando Ferri, Patrizia Grifoni, Tiziana Guzzo
2015 International Journal of Computer Applications  
The paper gives an overview of the different sentiment classification approaches and tools used for sentiment analysis.  ...  used for sentiment analysis.  ...  A sentiment analysis system can use them and aggregate the sentiment about them as a single score that can be used by an automated trading system, such as the system The Stock Sonar (http://www.thestocksonar.com  ... 
doi:10.5120/ijca2015905866 fatcat:4jbg6w5kfrcfbn2xrufhkiqn6q

Audio Analysis and Classification: A Review

Aas Mohammad, Dr. Manish Madhava Tripathi
2019 International Journal of Research in Advent Technology  
There are various algorithms and combination of the algorithms are available to recognize and classify the audio according to their emotion.  ...  Communication plays a vital role according to the people's emotion, as emotions and gesture play 80% role while communication.  ...  for real-time sentiment analysis.  ... 
doi:10.32622/ijrat.76201926 fatcat:l3ptcrmj6bhvfglov2mjw536eq

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  
comparing sentence-level sentiment analysis methods.  ...  In the last few years thousands of scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have emerged and a number of innovative products related to  ...  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

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
comparing sentence-level sentiment analysis methods.  ...  In the last few years thousands of scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have emerged and a number of innovative products related to  ...  We also incorporated them in a Web service from our research team called iFeel [4] that allow users to easily compare the results of various sentiment analysis methods.  ... 
arXiv:1512.01818v5 fatcat:t4di65blxvhgnptmybb756q4ce

Econometrics Meets Sentiment: An Overview of Methodology and Applications

Andres Algaba, David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt
2019 Social Science Research Network  
to use those variables in an econometric analysis of the relationships between sentiment and other variables.  ...  We survey this emerging research field and refer to it as sentometrics, which is a portmanteau of sentiment and econometrics.  ...  Foundation (http://www.snf.ch, grants #179281 and #191730).  ... 
doi:10.2139/ssrn.2652876 fatcat:pwbw2uppu5erzncc5vpmrif7fa

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

Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin
2019 arXiv   pre-print
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.  ...  Our contributions include a novel model called Linkflows that allows for such detailed and semantically rich representations of reviews and the reviewing processes.  ...  5.3 Comparative Analysis degree and that most of them are working in academia (89.9%).  ... 
arXiv:1910.03218v1 fatcat:lk6hauxucvbtphlm6s6pvipcoq

Exerting 2D-Space of Sentiment Lexicons with Machine Learning Techniques: A Hybrid Approach for Sentiment Analysis

Muhammad Yaseen Khan, Khurum Nazir
2020 International Journal of Advanced Computer Science and Applications  
In this paper, we propose a hybrid approach that uses unsupervised sentiment lexicons to transform the term space into a twodimensional sentiment space on which a discriminative classifier is trained in  ...  We support our claim by reporting results on six social media datasets using five sentiment lexicons and four ML algorithms.  ...  that combines supervised and unsupervised classification methods [20] .  ... 
doi:10.14569/ijacsa.2020.0110672 fatcat:cty63ibxpvdwvnv5q7qhr22h6a

Participatory Sensor Networks as Sensing Layers

Thiago H. Silva, Pedro O. S. Vaz de Melo, Jussara M. Almeida, Aline C. Viana, Juliana Salles, Antonio A. F. Loureiro
2014 2014 IEEE Fourth International Conference on Big Data and Cloud Computing  
A sensing layer represents a type of data, coming from a given source of data, such as web services, traditional wireless sensor networks, and PSNs.  ...  Furthermore, we demonstrate how to derive and create new applications and services that are not promptly available from different sensing layers, opening up very interesting research opportunities.  ...  For the first analysis we combine the data from the layers r 1 and r 2 . The chosen method is the combination by location, method described in Section II-B.  ... 
doi:10.1109/bdcloud.2014.27 dblp:conf/bdcloud/SilvaMAVSL14 fatcat:sjvksvfplndcfm6jb4neaqclfy
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