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Fine-Grained Opinion Summarization with Minimal Supervision [article]

Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han
2021 arXiv   pre-print
Opinion summarization aims to profile a target by extracting opinions from multiple documents.  ...  FineSum automatically identifies opinion phrases from the raw corpus, classifies them into different aspects and sentiments, and constructs multiple fine-grained opinion clusters under each aspect/sentiment  ...  ) fine-grained opinion clustering.  ... 
arXiv:2110.08845v1 fatcat:eoeagv4z6zfexa6jiuc5cektle

Mining Fine-grained Opinion Expressions with Shallow Parsing

Sucheta Ghosh, Sara Tonelli, Richard Johansson
2013 Recent Advances in Natural Language Processing  
We found that both of the feature-sets are useful to improve our baseline at different levels of this fine-grained opinion expression mining task.  ...  Opinion analysis deals with public opinions and trends, but subjective language is highly ambiguous. In this paper, we follow a simple data-driven technique to learn fine-grained opinions.  ...  All baseline features Results We present the results obtained at different levels of fine-grained opinion mining.  ... 
dblp:conf/ranlp/GhoshTJ13 fatcat:664y6pffi5gfdnf6gkyzqdqp5y

Comparative Analysis Using Machine Learning Techniques for Fine Grain Sentiments

Zeeshan Ahmad, Waqas Haider Bangyal, Kashif Nisar, Muhammad Reazul Haque, M. Adil Khan
2022 Journal on Artificial Intelligence  
We present comparative sentiment analysis to solve the fine-grained sentiment classification problem.  ...  To handle these challenges, we present a comparative sentiment analysis study in which we used the fine-grained Stanford Sentiment Treebank (SST) dataset, based on 215,154 exclusive texts of different  ...  SST is a well-known open-source dataset for the classification of fine-grained sentiment.  ... 
doi:10.32604/jai.2022.017992 fatcat:k7wcx3pjhnfvhgrhyfnzirwmcy

A Multidomain and Multilingual Conceptual Data Model for Online Reviews Representation
english

Marcirio Silveira Chaves, Winnie Picoto
2012 Proceedings of the 7th International Conference on Software Paradigm Trends  
Applications build on the model proposed in this paper may allow in-depth analysis of the fine-grained and disperse knowledge existent in the UGC.  ...  Furthermore, as this model is domain-independent it can be used to represent multiple types of reviews.  ...  ACKNOWLEDGES This research was partially supported by the national funds of FCT -the Portuguese Science and Technology Foundation within the strategic project PEst-OE/EGE/UI4027/2011.  ... 
doi:10.5220/0004021800140023 dblp:conf/icsoft/ChavesP12 fatcat:6vmmqvoyxrgojkm2akawiks3wq

Reviewer Credibility and Sentiment Analysis based User Profile Modelling for Online Product Recommendation

Shigang Hu, Akshi Kumar, Fadi Al-Turjman, Shivam Gupta, Simran Seth, Shubham
2020 IEEE Access  
This research work augments heuristic-driven user interest profiling with reviewer credibility analysis and fine-grained feature sentiment analysis to devise a robust recommendation methodology.  ...  The user interest mining module uses aesthetics of review writing as heuristics for interest-pattern mining.  ...  In this paper, we explore user reviews as source of mining user-interest patterns.  ... 
doi:10.1109/access.2020.2971087 fatcat:23mozn64vrbfdffq6cbtiglkeq

Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)

Zhe He, Cui Tao, Jiang Bian, Rui Zhang
2020 BMC Medical Informatics and Decision Making  
AbstractIn this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International  ...  Acknowledgements The Guest Editors of this supplement would like to thank the authors and the reviewers for their scientific contribution and congratulate them on their high quality work.  ...  EHRs containing large amounts of fine-grained clinical data provide a rich source to predict treatment effects. Chu et al.  ... 
doi:10.1186/s12911-020-01292-x pmid:33317524 fatcat:dubevzn2pvgwdeq7ycwxo25ioi

Impacts towards a comprehensive assessment of the book impact by integrating multiple evaluation sources

Qingqing Zhou, Chengzhi Zhang
2021 Journal of Informetrics  
Hence, this paper measured book impact based on an evaluation system constructed by integrating multiple evaluation sources.  ...  Specifically, we conducted finer-grained mining on the multiple evaluation sources, including books' internal evaluation resources and external evaluation resources.  ...  Hence, finer-grained mining on the multiple evaluation resources and the integration of corresponding evaluation results are necessary.  ... 
doi:10.1016/j.joi.2021.101195 fatcat:j45b6lbo35buxgvpcnsejegore

Sentiment Analysis Of Twitter Data By Using Deep Learning And Machine Learning

Prof. Manisha Sachin Dabade, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
The study intends to categorize Fine-grain sentiments within Tweets of Vaccination (89974 tweets) through machine learning and a deep learning approach.  ...  The main goal of this research is to recognize the algorithms by using Machine Learning Classifiers.  ...  By using Fine-grain sentiment analysis, the study will focus on the improvement of the accuracy of the model.  ... 
doi:10.17762/turcomat.v12i6.2375 fatcat:i6biakumpreexoqfl5qcck66kq

Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction

Wenya Wang, Sinno Jialin Pan
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Fine-grained opinion analysis aims to extract aspect and opinion terms from each sentence for opinion summarization. Supervised learning methods have proven to be effective for this task.  ...  In this case, unsupervised domain adaptation methods are desired to transfer knowledge from the source domain to any unlabeled target domain.  ...  A framework for learning predictive structures from multiple tasks and unlabeled data. JMLR 6:1817-1853. John Blitzer, Mark Dredze, and Fernando Pereira. 2007.  ... 
doi:10.18653/v1/p18-1202 dblp:conf/acl/PanW18 fatcat:oitt2xf2tjfg7py44zd7ehqzlu

A Fine-Grained Sentiment Dataset for Norwegian [article]

Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes, Erik Velldal
2020 arXiv   pre-print
We introduce NoReC_fine, a dataset for fine-grained sentiment analysis in Norwegian, annotated with respect to polar expressions, targets and holders of opinion.  ...  The underlying texts are taken from a corpus of professionally authored reviews from multiple news-sources and across a wide variety of domains, including literature, games, music, products, movies and  ...  Acknowledgements This work has been carried out as part of the SANT project (Sentiment Analysis for Norwegian Text), funded by the Research Council of Norway (grant number 270908).  ... 
arXiv:1911.12722v2 fatcat:kppov35uarhv3cig52cjqigzrq

Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction

Wenya Wang, Sinno Jialin Pan
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
In fine-grained opinion mining, aspect and opinion terms extraction has become a fundamental task that provides key information for user-generated texts.  ...  Very few attempts have applied unsupervised domain adaptation methods to transfer fine-grained knowledge (in the word level) from some labeled source domain(s) to any unlabeled target domain.  ...  Acknowledgements This work is supported by NTU Singapore Nanyang Assistant Professorship (NAP) grant M4081532.020, Singapore 7198 MOE AcRF Tier-1 grant 2016-T1-001-159 and Singapore MOE AcRF Tier-2 grant  ... 
doi:10.1609/aaai.v33i01.33017192 fatcat:six4ap235jgdxkfw4p4leb4sbe

Sentiment Analysis on Twitter Dataset using R Language

B. Nagajothi, Dr. R. Jemima Priyadarsini
2019 Zenodo  
By using these Affirmative Context Lexicons and Negated Context Lexicons were able to significantly improve the performance of the overall sentiment analysis system on both tasks.  ...  A product review can express a positive, negative, or neutral sentiment or polarity .  ...  As data mining and text mining techniques become more advanced, information can be retrieved on an increasingly fine-grained level.  ... 
doi:10.5281/zenodo.3587698 fatcat:kkxkrojfhzebzcbf2ufamxmave

Teddy: A System for Interactive Review Analysis [article]

Xiong Zhang and Jonathan Engel and Sara Evensen and Yuliang Li and Çağatay Demiralp and Wang-Chiew Tan
2020 arXiv   pre-print
Reviews are integral to e-commerce services and products.  ...  Today, data scientists analyze reviews by developing rules and models to extract, aggregate, and understand information embedded in the review text.  ...  Informed by the results of our study, Teddy enables similarity-based multiscale exploration of reviews using fine-grained opinions extracted from them.  ... 
arXiv:2001.05171v1 fatcat:2l5fnifhlneqjkbmhpoivwrjqm

Sentiment classification using weakly supervised learning techniques

P. Bharathi, P C D. Kalaivaani
2014 International Conference on Information Communication and Embedded Systems (ICICES2014)  
Due to the advanced technologies of Web 2.0, people are participating in and exchanging opinions through social media sites such as Web forums and Weblogs etc. , Classification and Analysis of such opinions  ...  We propose a hybrid model to detect sentiment and topics from text by using weakly supervised learning technique.  ...  It does not require prior training].Most of the current opinion mining research has focused on business and ecommerce applications, such as product reviews and movie ratings.  ... 
doi:10.1109/icices.2014.7033924 fatcat:ilawcxgauffftnscoqehun7lxu

Survey on Spam Review Detection Using Spam Filtering Algorithms

Dand Shweta B.
2021 International Journal for Research in Applied Science and Engineering Technology  
One such unrealized opportunity is the usability of web assessments from suppliers in order to fulfill client requirements by evaluating beneficial feedback.  ...  Generally the people trust on product on the basis of that product reviews and rating. Reviews can affect an organization or profile of a brand.  ...  The honesty value of a review will be measured by utilizing the text mining and opinion mining techniques.  ... 
doi:10.22214/ijraset.2021.36333 fatcat:vx2nwkts3jdnvlswk5ppnb7n5y
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