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Comments-oriented blog summarization by sentence extraction

Meishan Hu, Aixin Sun, Ee-Peng Lim
2007 Proceedings of the sixteenth ACM conference on Conference on information and knowledge management - CIKM '07  
In this research, we aim to extract representative sentences from a blog post that best represent the topics discussed among its comments.  ...  Our user study conducted on summarizing blog posts, however, showed that reading comments does change one's understanding about blog posts.  ...  The task is to summarize a blog post by extracting representative sentences from the post using information hidden in its comments.  ... 
doi:10.1145/1321440.1321571 dblp:conf/cikm/HuSL07 fatcat:qpy7n3uyknhy7c6zprbwlczerm

Comments-oriented document summarization

Meishan Hu, Aixin Sun, Ee-Peng Lim
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
In this paper, we study the problem of comments-oriented document summarization and aim to summarize a Web document (e.g., a blog post) by considering not only its content, but also the comments left by  ...  To generate a comments-oriented summary, we extract sentences from the given Web document using either feature-biased approach or uniform-document approach.  ...  The comments-oriented summary is formed by extracting those top scored sentences.  ... 
doi:10.1145/1390334.1390385 dblp:conf/sigir/HuSL08 fatcat:abnecm6gzng4jbzhiercep7fpe

Lexical Based Semantic Orientation of Online Customer Reviews and Blogs [article]

Aurangzeb khan, Khairullah khan, Shakeel Ahmad, Fazal Masood Kundi, Irum Tareen, Muhammad Zubair Asghar
2016 arXiv   pre-print
This paper proposed sentence-level lexical based domain independent sentiment classification method for different types of data such as reviews and blogs.  ...  The results show the proposed method performs better as it shows precision of 87% and83% at document and sentence levels respectively for online comments.  ...  This work, presents an online customer reviews classification method extracting sentiments from blogs comments.  ... 
arXiv:1607.02355v1 fatcat:5dm2hujqxffgvhxxrvazmtbboe

Presence Factor-Oriented Blog Summarization [article]

Rosy Madaan, A.K. Sharma, Ashutosh Dixit
2013 arXiv   pre-print
The research that has been carried out on blogs focused on blog posts only, ignoring the title of the blog page. Also, in summarization only a set of representative sentences are extracted.  ...  Thus, proposed system of summarization makes use of title contained in a blog page.  ...  In [10] , Shuang Sun et. al. re-formalized the blog post summarization problem as a sentence extraction and sentence ranking problem.  ... 
arXiv:1302.7131v1 fatcat:45gfbcahvzgz3khbddbygmqasy

Comments-Oriented Document Summarization Based on Multi-aspect Co-feedback Ranking [chapter]

Lifu Huang, Hongjie Li, Lian'en Huang
2013 Lecture Notes in Computer Science  
In this paper, we study the problem of comments-oriented document summarization, which aims to summarize a web document by considering not only its content but also the comments.  ...  It is challenging and interesting to summarize the web document based on these clusters. Motivated by this, we propose a novel model: MultiAspectCoRank, for comments-oriented document summarization.  ...  We thank the anonymous reviewers for their valuable and constructive comments. This work is financially supported by NSFC Grant 61272340.  ... 
doi:10.1007/978-3-642-38562-9_37 fatcat:jsch6yrcivfudbf5wl3sgvz4dq

PolyU at TAC 2008

Wenjie Li, Ouyang You, Yi Hu, Furu Wei
2008 Text Analysis Conference  
In the blog posts or comments, spoken language usages are very common since blogs are not as formal as newswire or literature articles.  ...  Extracting and Segmenting Text Contents Because the data of Blog06 come from Blogs, the web pages are organized with hierarchical structure by using defined XML tags.  ... 
dblp:conf/tac/LiYHW08 fatcat:jn5kmrrlnvbfddnw3vdpsf46n4

Semantic Orientation of Sentiment Analysis on Social Media

Sri Khetwat Saritha, Devshriroy Devshriroy
2012 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
The purpose of this paper is to locate, extract, classify and summarize the customer opinion about the products from the social media site YouTube.  ...  User Generated Contents on social media, such has Blogs, Forums, YouTube, Twitter, Facebook and so on contains opinions or sentiments generated by the users about the object, such has product reviews,  ...  We locate, extract, classify and summarize the customer opinion about the products from the social media site YouTube.  ... 
doi:10.24297/ijct.v11i4.3124 fatcat:bicehiqv5ffqfbqatmnpkyrcrq

A Study on Sentiment Analysis: Methods and Tools

2015 International Journal of Science and Research (IJSR)  
Sentiment Analysis is a process of automatic extraction of features by mode of notions of others about specific product, services or experience.  ...  Sentiment Analysis is a case of natural language processing which could mark the mood of the people about any specific product by analysis.  ...  This step involves retrieval of reviews, micro-blogs and comments by user. Opinion Classification Primary steps in sentiment analysis are a classification of review text.  ... 
doi:10.21275/v4i12.nov151832 fatcat:6gfd2tuy6beuvdgu4tram6bema

Tag-oriented document summarization

Junyan Zhu, Can Wang, Xiaofei He, Jiajun Bu, Chun Chen, Shujie Shang, Mingcheng Qu, Gang Lu
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
In this paper, we present a tag-oriented Web document summarization approach by using both document content and the tags annotated on that document.  ...  Experimental results show our tag-oriented summarization has a significant improvement over those not using tags.  ...  CONCLUSIONS In this paper, we present a new tag-oriented summarization approach that effectively extracts user understanding of a Web document contained in social annotations.  ... 
doi:10.1145/1526709.1526925 dblp:conf/www/ZhuWHBCSQL09 fatcat:kmg6wvwep5a4vk433c2nyduysq

Summarization Focusing on Polarity or Opinion Fragments in Blogs

Yohei Seki
2008 Text Analysis Conference  
The system consists of two modules: opinion/polarity automatic annotation module and fragment extraction module for summarization.  ...  Our research objective is to estimate the effectiveness of opinion/polarity annotation per sentence units for opinion summarization.  ...  This work was also partially supported by the Artificial Intelligence Research Promotion Foundation in Japan.  ... 
dblp:conf/tac/Seki08 fatcat:mwn7fkwk5vb67jxsvdslmwhire

Research Directions, Challenges and Issues in Opinion Mining

Periakaruppan Sudhakaran, Shanmugasundaram Hariharan, Joan Lu
2013 International Journal of Advanced Science and Technology  
Though there are several approaches for opinion mining, there remains a challenge to decide on the recommendation provided by the system.  ...  So far nearly 10 P.G students are guided by his guidance and also guided many project and he attended totally more than 30 conferences, workshop and seminars.  ...  The first author would extend the support rendered by the management for carrying out the research work successfully.  ... 
doi:10.14257/ijast.2013.60.01 fatcat:vsb5anbrjfddvit64yw7tfk5q4

Estimating Filipino ISPs Customer Satisfaction Using Sentiment Analysis

Frederick F. Patacsil, Alvin R. Malicdem, Proceso L. Fernandez
2015 Computer Science and Information Technology  
The proposed automatic classifier successfully identifies positive and negative polarity of the blog sentences with a 91.50% accuracy in the training set.  ...  Data were collected from Blog comments shared with online social media. Automatic word seed selection was applied using the word pair set {"Good" and "Slow"} as initial seed for the word dictionary.  ...  Blog comments from the selected blog sites that feature the services of the major internet providers were extracted using a customized PHP web scraping application which retrieves the customer comments  ... 
doi:10.13189/csit.2015.030102 fatcat:lqcqcrzimnarbcxlijfjzmyzly

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,  ...  So we have to clean them to extract the meaningful contents and related comments. In the dataset, blog posts with different styles are from different blog domains.  ... 
doi:10.1109/coginf.2009.5250700 dblp:conf/IEEEicci/JinHZ09 fatcat:aow7os5u6rawvbvwyr52xogpv4

A Review on Opinion Mining through Customer Experiences

Nandini Burade, Ankita Kendhe
2014 International Journal of Computer Applications  
Some existing techniques for opinion mining show only positive and negative comments from the customer reviews which is not efficient.  ...  It also covers the extraction as it plays an important role in many sentiment oriented applications.  ...  Automatic text summarization [6] for frequent sequences that are found by using multi word, two words or single word patterns.  ... 
doi:10.5120/18854-0434 fatcat:3uh4pzg4vfb5ldfktj3lbgecii

A Review on Automatic Text Summarization Approaches

Yogan Jaya Kumar, Ong Sing Goh, Halizah Basiron, Ngo Hea Choon, Puspalata C Suppiah
2016 Journal of Computer Science  
Furthermore, this paper also reviews the significant efforts which have been put in studies concerning sentence extraction, domain specific summarization and multi document summarization and provides the  ...  Various techniques have been successfully used to extract the important contents from text document to represent document summary.  ...  Comment-oriented blog summarization (Hu et al., 2007) Another concept called fuzzy ontology was studied by Lee et al. (2005) to develop weather news summarization.  ... 
doi:10.3844/jcssp.2016.178.190 fatcat:rlydvxlgljgajacrg2be7sckdm
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