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A query-based multi-document sentiment summarizer

Maria Soledad Pera, Rani Qumsiyeh, Yiu-Kai Ng
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
summaries that satisfy user's information needs, and (ii) ranks among state-ofthe-art query-based multi-document sentiment summarizers.  ...  Empirical studies conducted using the TAC-08 dataset, a well-known benchmark dataset for assessing query-based multi-document sentiment summarizers, show that QM SS (i) is highly effective in generating  ...  query-based multi-document summarizer.  ... 
doi:10.1145/2063576.2063731 dblp:conf/cikm/PeraQN11 fatcat:znl2smdqv5fflip3j5vnbbzzmy

A query-specific opinion summarization system

Feng Jin, Minlie Huang, Xiaoyan Zhu
2009 2009 8th IEEE International Conference on Cognitive Informatics  
This paper introduces a query-specific opinion summarization system: QOS.  ...  The system has several modules to be able to do this: a question analysis and query reformulation module, a latent semantic indexing based sentence scoring module, a sentence polarity detection module,  ...  The graph-based ranking methods were recently proposed for multi-document summarization [1] [2] .  ... 
doi:10.1109/coginf.2009.5250700 dblp:conf/IEEEicci/JinHZ09 fatcat:aow7os5u6rawvbvwyr52xogpv4

Modern Multi-Document Text Summarization Techniques

2020 International journal of recent technology and engineering  
In this paper, a thorough comparison of the several multi-document text summarization techniques such as Machine Learning based, Graph based, Game-Theory based and more has been presented.  ...  Over the last decade, the focus has shifted from single document to multi-document summarization and despite significant progress in the domain, challenges such as sentence ordering and fluency remain.  ...  Machine learning-based Sentiment-Oriented Summarization of Multi-documents using Linguistic knowledge (SOSML) technique does not take execution time into consideration.  ... 
doi:10.35940/ijrte.a1945.059120 fatcat:evc3i323wjhlxkavul3clysaha

A survey on sentimental cluster based opinion summarization in question answering community

Ankur Goswami
2019 International Journal of Advanced Technology and Engineering Exploration  
Abdi et al. [25], 2018 Sentiment-oriented summarization of multi- documents (SOSML) approach Text summarization task.  ...  It has multi-class problem based on the sentiment strength.It has some misclassified sentence by explicit and common sentiment words.  ... 
doi:10.19101/ijatee.2019.650016 fatcat:zxuraar6azfctfhhzrnjqoro3a

Query-based opinion summarization for legal blog entries

Jack G. Conrad, Jochen L. Leidner, Frank Schilder, Ravi Kondadadi
2009 Proceedings of the 12th International Conference on Artificial Intelligence and Law - ICAIL '09  
This work is based on processing a set of legal questions with a system consisting of a semi-automatic Web blog search module and FastSum, a fully automatic extractive multi-document sentiment summarization  ...  We report baseline evaluation results for query-based sentiment summarization for legal blogs: on a five-point scale, average responsiveness and linguistic quality are slightly higher than 2 (with human  ...  SYSTEM FastSum [23] is a multi-document summarization system that was subsequently modified for sentiment.  ... 
doi:10.1145/1568234.1568253 dblp:conf/icail/ConradLSK09 fatcat:imnarbauozbixgd32zzlly7m5m

Chinese Multi-document Summarization Based on Opinion Similarity

Rui Liu, Yi An, Lang Song
2011 Procedia Engineering  
This paper proposes a strategy for Chinese review multi-document summarization based on opinion extraction and opinion similarity.  ...  Then, it extracts opinions from sentences through finding out sentiment features and corresponding topic features. After that, opinion similarity calculation method is introduced.  ...  Conclusion In this paper, we propose an opinion-based method for Chinese product review multi-document summarization.  ... 
doi:10.1016/j.proeng.2011.08.378 fatcat:d4btfcl2y5d3di6bs4xgl4rghm

Extractive Text Summarization for Social News using Hybrid Techniques in Opinion Mining

2020 International Journal of Engineering and Advanced Technology  
By adopting these summarizing approaches, the accuracy in data retrieval of summarized content via search queries can be enhanced compared to performing search over the broad range of original textual  ...  The existing work recommends a technique of hybrid text summarization that's a blend of CRF (conditional random fields) and LSA (Latent Semantic Analysis) which being highly adhesive with low redundant  ...  It delivers summarization of news reviews and determining of sentiments on news article based on users query, such as Positive and negative statements, suggestions, comments, questions. B.  ... 
doi:10.35940/ijeat.b3356.029320 fatcat:7vwnlgsef5arpllozo24oraotu

Hybrid Approach for Single Text Document Summarization using Statistical and Sentiment Features [article]

Chandra Shekhar Yadav, Aditi Sharan
2016 arXiv   pre-print
play a vital role in text document summarization.  ...  We are proposing a hybrid model for a single text document summarization. This hybrid model is an extraction based approach, which is combination of Statistical and semantic technique.  ...  Payal Biswas to generate extractive type summary from given document , and Ashish Kumar (All from SC & SS, IR-LAB 01, JNU, Delhi) to help me at several stages.  ... 
arXiv:1601.00643v1 fatcat:fg3sjgitmnginl2lchp7zjmq4a


Derek Wu, Hongning Wang
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
We develop an aspect-based sentiment analysis system named Re-viewMiner.  ...  on the detailed aspect-level opinions, and summarizes aspect-level opinions in textual, temporal and spatial dimensions. e unique multi-modal opinion summarization and visualization mechanisms provide  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for their insightful comments. is paper is based upon work supported by the National Science Foundation under grant IIS-1553568.  ... 
doi:10.1145/3077136.3084148 dblp:conf/sigir/WuW17 fatcat:36jhbfqphbfupm36bvdwbcykuy

WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization [article]

Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
2020 arXiv   pre-print
In the Query Focused Multi-Document Summarization (QF-MDS) task, a set of documents and a query are given where the goal is to generate a summary from these documents based on the given query.  ...  in a document set from the multi-document gold reference summaries.  ...  Each document set is associated with a query and the objective is to generate a summary containing at most 250 words from the document set based on the given query.  ... 
arXiv:2011.01421v1 fatcat:fth4hcqwonafpcdptgrp3kwm6e

SumView: A Web-based engine for summarizing product reviews and customer opinions

Dingding Wang, Shenghuo Zhu, Tao Li
2013 Expert systems with applications  
In this paper, we develop SumView, a Web-based review summarization system, to automatically extract the most representative expressions and customer opinions in the reviews on various product features  ...  Different from existing review analysis which makes more efforts on sentiment classification and opinion mining, our system mainly focuses on summarization, i.e., delivering the majority of information  ...  Query-relevant multi-document summarization using DUC2006 data.  ... 
doi:10.1016/j.eswa.2012.05.070 fatcat:f6mqb3pcqjde3cmizjuvbupwsu

Tone Biased MMR Text Summarization [article]

Mayank Chaudhari, Aakash Nelson Mattukoyya
2018 arXiv   pre-print
In our work we implement Maximal Marginal Relevance [MMR] based multi-document text summarization and propose a naive model to change tone of the summarization by setting a bias to specific set of words  ...  This bias towards a specified set of words produces a summary whose tone is same as tone of specified words.  ...  ., [5] propose a new approach based on domain independent techniques for multidocument text summarization which has few operations based on single document text summarization.  ... 
arXiv:1802.09426v2 fatcat:jczrydsyonbd5nbfeswlppbpoy

Aspect-Based Sentiment Analysis Using Smart Company and Hotel Aspect Review Data

C. Selvi, Niveda. C. P
2020 International Journal of Scientific Research in Science and Technology  
The aforementioned problem is overcome by generating aspect-sentiment based embedding for the hotels and companies by looking into reliable reviews of them.  ...  The important product aspects are identified based on two observations: 1) the important aspects are usually commented on by a large number of consumers and 2) consumer opinions on the important aspects  ...  If users create query words the way they create for information retrieval, then the query based summary generation would become generic summarization.  ... 
doi:10.32628/ijsrst207223 fatcat:odxxili3hvcc5nuqdj2wuqefby

Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams

Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke
2016 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16  
Time-aware multi-viewpoint summarization of multilingual social text streams Ren, Z.; Inel, O.; Aroyo, L.; de Rijke, M.  ...  Phase C then summarizes documents according to viewpoint distributions using a co-ranking based strategy. In the end we get a time-aware multi-viewpoint summary St at time t.  ...  In the Topic models Sen-TM Sentiment LDA based contrastive summarization [28] TAM Topic-aspect model based contrastive summarization [36] Summarization CoRUS Co-Ranking update summarization [44]  ... 
doi:10.1145/2983323.2983710 dblp:conf/cikm/RenIAR16 fatcat:f34xytwsibaqvb2p3tdyi5l2xe

Getting Emotional about News Summarization [chapter]

Alistair Kennedy, Anna Kazantseva, Diana Inkpen, Stan Szpakowicz
2012 Lecture Notes in Computer Science  
Although this experiment did not improve news summarization as evaluated by a variety of standard scoring techniques, it was successful at generating summaries with more emotional words while maintaining  ...  News is not simply a straight re-telling of events, but rather an interpretation of those events by a reporter, whose feelings and opinions can often become part of the story itself.  ...  Researchers get a chance to see who has created the best-evaluated query-driven multi-document news summarization system.  ... 
doi:10.1007/978-3-642-30353-1_11 fatcat:a2o3rn2lf5dqfinltljrtajn7q
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