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SENTIMENT ANALYSIS OF TWITTER TWEETS TO IDENTIFY THE NEGATIVITY FACTORS

Bilal Ahmed Chandio, Muhammad Aimal, Maheen Bakhtyar, Junaid Babar, Maheen Afzal
2022 Zenodo  
Our proposed method is based on logistic regression to classify the intensities towards the emotions extracted from tweets.  ...  The dataset collected from twitter is narrowed down to twitter Pakistan tweets and then trained our model on the training dataset and later tested the model on testing dataset where different accuracies  ...  By analyzing the tweets, the researcher describes factors of lacking the use of public transport and also the factors that make the use of public transport and facilities that provides.  ... 
doi:10.5281/zenodo.5814102 fatcat:6o2mixfd2ndkvad3lzwfqsgmwy

Sentiment Learning on Product Reviews via Sentiment Ontology Tree

Wei Wei, Jon Atle Gulla
2010 Annual Meeting of the Association for Computational Linguistics  
Existing works on sentiment analysis on product reviews suffer from the following limitations: (1) The knowledge of hierarchical relationships of products attributes is not fully utilized. (2) Reviews  ...  While this paper is mainly on sentiment analysis on reviews of one product, our proposed HL-SOT approach is easily generalized to labeling a mix of reviews of more than one products.  ...  Acknowledgments The authors would like to thank the anonymous reviewers for many helpful comments on the manuscript.  ... 
dblp:conf/acl/WeiG10 fatcat:v7xxabyvm5gzvmf3bhf5esuj74

Aspect Based Sentiment Analysis into the Wild

Caroline Brun, Vassilina Nikoulina
2018 Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
In this paper, we test state-of-the-art Aspect Based Sentiment Analysis (ABSA) systems trained on a widely used dataset on actual data.  ...  We created a new manually annotated dataset of user generated data from the same domain as the training dataset, but from other sources and analyse the differences between the new and the standard ABSA  ...  Many factors may impact the linguistic structure of a review, e.g. the support it was written on (computer vs. smartphone), the age of the user, the location (US vs.  ... 
doi:10.18653/v1/w18-6217 dblp:conf/wassa/BrunN18 fatcat:k6mgo7fqongdvb6g544ex7hzli

Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis [article]

Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani
2017 arXiv   pre-print
We tested the accuracy of our method via different deep learning models and sentiment datasets. Our experiment results show that Improved Word Vectors (IWV) are very effective for sentiment analysis.  ...  Sentiment analysis is one of the well-known tasks and fast growing research areas in natural language processing (NLP) and text classifications.  ...  and have improved the accuracy of sentence and sentiment classification.  ... 
arXiv:1711.08609v1 fatcat:nczkigzjzjdbfodx37btkjow44

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research [article]

Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea
2020 arXiv   pre-print
Given its saturation in specific subtasks -- such as sentiment polarity classification -- and datasets, there is an underlying perception that this field has reached its maturity.  ...  In this article, we discuss this perception by pointing out the shortcomings and under-explored, yet key aspects of this field that are necessary to attain true sentiment understanding.  ...  ACKNOWLEDGEMENTS The authors are indebted to all the pioneers and researchers who contributed to this field.  ... 
arXiv:2005.00357v5 fatcat:gjzglyhtvvc3xnuaeqjocbp57u

Engineers, Aware! Commercial Tools Disagree on Social Media Sentiment: Analyzing the Sentiment Bias of Four Major Tools

Soon-Gyo Jung, Joni Salminen, Bernard J. Jansen
2022 Proceedings of the ACM on Human-Computer Interaction  
We find that the four tools assign the same sentiment on less than half (48.1%) of the analyzed content.  ...  Engineers are urged caution when implementing SA tools for applications, as the tool selection affects the obtained sentiment labels.  ...  Merging the two approaches can help offset some of the disadvantages of the ML-and lexicon-based methods to improve sentiment classification performance.  ... 
doi:10.1145/3532203 fatcat:ivnzrcq63ncnbfma7l45yac5iq

The Impact of Sentiment Analysis Output on Decision Outcomes: An Empirical Evaluation

Parisa Lak, Ozgur Turetken
2017 AIS Transactions on Human-Computer Interaction  
The results suggest that, consistent with the effort-accuracy trade off and effort-minimization concepts, sentiment scores on review documents improve the efficiency (speed) of purchase decisions without  ...  Sentiment analysis, a text-analytic technique that automatically detects the polarity of text, provides sentiment scores that are comparable to, and potentially more refined than, star ratings.  ...  Sentiment analysis tools present the output either as a binary classification or on a continuous scale as a sentiment score.  ... 
doi:10.17705/1thci.00086 fatcat:dbkc6qpm7ferfcduzhulxjvuam

Natural Language Processing for the Analysis Sentiment using a LSTM Model

Achraf BERRAJAA
2022 International Journal of Advanced Computer Science and Applications  
Over the past decade, social networks have revolutionised the communication between organisations and their customers, and the data provided by customers on social network platforms is having an increasingly  ...  Moreover, this dataset represents a recent and interesting sample for the proposed machine learning models to correctly identify the topics or points on which the company should focus to improve customer  ...  ACKNOWLEDGMENT The author would like to thank the Editor-in-chief and anonymous reviewers for their comments and suggestions to improve the quality of the paper.  ... 
doi:10.14569/ijacsa.2022.0130589 fatcat:h5rw4ehaazeind4z3kgmwfni5m

Hidden Topic Sentiment Model

Md Mustafizur Rahman, Hongning Wang
2016 Proceedings of the 25th International Conference on World Wide Web - WWW '16  
Extensive experiments on four categories of product reviews from both Amazon and NewEgg validate the effectiveness of the proposed model.  ...  imposed by constraining topic transitions via tracking sentiment changes; and 3) both topic transition and sentiment transition are guided by a parameterized logistic function based on the linguistic  ...  They were asked to pick one or two sentences which provide the most useful information about the presented aspect along with the required sentiment.  ... 
doi:10.1145/2872427.2883072 dblp:conf/www/RahmanW16 fatcat:4udcdaef3rgqfg67sf74dlzrvq

Data properties and the performance of sentiment classification for electronic commerce applications

Youngseok Choi, Habin Lee
2017 Information Systems Frontiers  
and computational linguistics have been proposed in the literature for improved sentiment classification results.  ...  While such studies focus on improving performance with new techniques or extending existing algorithms based on previously used dataset, few studies provide practitioners with insight on what techniques  ...  They provide a performance comparison based on the reviews of existing studies, however, without discussing factors affecting the performance differences.  ... 
doi:10.1007/s10796-017-9741-7 fatcat:2sg4cu7vfvcgpbhtxasaxau7z4

The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives

Sergey Smetanin
2020 IEEE Access  
We presented a research agenda to improve the quality of the applied sentiment analysis studies and to expand the existing research base to new directions.  ...  In contrast with previous surveys, we targeted the applications of sentiment analysis rather than existing sentiment analysis approaches and their classification quality.  ...  In most cases, each review from Otrude contained the rating provided by the author, so technically the evaluation of job reviews can be performed without sentiment classification.  ... 
doi:10.1109/access.2020.3002215 fatcat:3ccxys7nevaf3icf2ih5welfjy

A SENTIMENT LEXICON-BASED ANALYSIS FOR FOOD AND BEVERAGE INDUSTRY REVIEWS. THE GREEK LANGUAGE PARADIGM

Anastasios Liapakis
2020 Zenodo  
The extracted keywords and phrases from the customers' reviews are used to form the corresponding dictionaries of the functions and to proceed in the sentiment classification.  ...  As it appears, the sentiment analysis in an aspect-level using the lexicon-based technique should approach methodologically the problem by identifying not only the relevant information but also the particular  ...  in the context of the project "Strengthening Human Resources Research Potential via Doctorate Research" (MIS-5000432), implemented by the State Scholarships Foundation (ΙΚΥ).  ... 
doi:10.5281/zenodo.3832048 fatcat:7ca74t6ovbccxpbgibsckxtfom

Predicting collective sentiment dynamics from time-series social media

Le T. Nguyen, Pang Wu, William Chan, Wei Peng, Ying Zhang
2012 Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining - WISDOM '12  
In particular, understanding and predicting the sentiment change of the public opinions will allow business and government agencies to react against negative sentiment and design strategies such as dispelling  ...  Experiments on large-scale Twitter data show that the model can achieve above 85% accuracy on directional sentiment prediction.  ...  By utilizing contextual information, the accuracy of sentiment analysis can be significantly improved [10] .  ... 
doi:10.1145/2346676.2346682 fatcat:p3rg6oqg3vfhta3vkqmufwpsfu

Multimodal Sentiment Analysis with Temporal Modality Attention

Fan Qian, Jiqing Han
2021 Conference of the International Speech Communication Association  
The results show a consistently significant improvement compared to the baseline models.  ...  Multimodal sentiment analysis is an important research that involves integrating information from multiple modalities to identify a speaker underlying attitude.  ...  The results show a consistently significant improvement compared to the baseline models.  ... 
doi:10.21437/interspeech.2021-487 dblp:conf/interspeech/QianH21 fatcat:fcgg6svzbjbk5dwotx3y4qq3ya

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques

Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander Gelbukh, Qiang Zhou
2016 Cognitive Computation  
We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data.  ...  The amount of research work on sentiment analysis is growing explosively.  ...  Sentiment Lexicons Sentiment lexicons have been used in a number of approaches to multilingual sentiment analysis in order to improve the performance of classification.  ... 
doi:10.1007/s12559-016-9415-7 pmid:27563360 pmcid:PMC4981629 fatcat:pr63qqnvazfjll6bakqtlupfj4
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