Comments-oriented blog summarization by sentence extraction

Hu, Meishan; Sun, Aixin; Lim, Ee-Peng

doi:10.1145/1321440.1321571

Cited by 89 publications

(46 citation statements)

References 6 publications

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“…Hu et al introduced a graph-based method for discussion summarisation through sentence extraction from weblog posts [11]. Budura et al [4] propagate tags along the edges of a Web page similarity graph that is built based on a range of content features.…”

Section: Related Workmentioning

confidence: 99%

Exploiting User Comments for Audio-Visual Content Indexing and Retrieval

Eickhoff

Vries

2013

Lecture Notes in Computer Science

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Abstract. State-of-the-art content sharing platforms often require users to assign tags to pieces of media in order to make them easily retrievable. Since this task is sometimes perceived as tedious or boring, annotations can be sparse. Commenting on the other hand is a frequently used means of expressing user opinion towards shared media items. This work makes use of time series analyses in order to infer potential tags and indexing terms for audio-visual content from user comments. In this way, we mitigate the vocabulary gap between queries and document descriptors. Additionally, we show how large-scale encyclopaedias such as Wikipedia can aid the task of tag prediction by serving as surrogates for high-coverage natural language vocabulary lists. Our evaluation is conducted on a corpus of several million real-world user comments from the popular video sharing platform YouTube, and demonstrates significant improvements in retrieval performance.

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Section: Related Workmentioning

confidence: 99%

Exploiting User Comments for Audio-Visual Content Indexing and Retrieval

Eickhoff

Vries

2013

Lecture Notes in Computer Science

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“…For blog summarization, [55] proposed a method that first derives representative words from comments and then selects important sentences from the blog post containing representative words. For more related works, see [56]- [58].…”

Section: A Web Summarizationmentioning

confidence: 99%

Text Summarization Techniques: A Brief Survey

Allahyari¹,

Pouriyeh²,

Assefi³

et al. 2017

ijacsa

382

175

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Abstract-In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. Text summarization is the task of shortening a text document into a condensed version keeping all the important information and content of the original document. In this review, the main approaches to automatic text summarization are described. We review the different processes for summarization and describe the effectiveness and shortcomings of the different methods.

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“…3. 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. Fuzzy ontology was found to be more suitable to treat domains with uncertainty.…”

Section: News Summarizationmentioning

confidence: 99%

“…In later work, Hu et al (2007) argued that comments from blog readers does change the understanding about the blog post. The authors use the words from the blog's comments to extract sentences.…”

Section: Email/blog Summarizationmentioning

confidence: 99%

A Review on Automatic Text Summarization Approaches

Kumar¹,

Goh²,

Basiron³

et al. 2016

Journal of Computer Science

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It has been more than 50 years since the initial investigation on automatic text summarization was started. Various techniques have been successfully used to extract the important contents from text document to represent document summary. In this study, we review some of the studies that have been conducted in this still-developing research area. It covers the basics of text summarization, the types of summarization, the methods that have been used and some areas in which text summarization has been applied. 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 theoretical explanation and the fundamental concepts related to it. In addition, the advantages and limitations concerning the approaches commonly used for text summarization are also highlighted in this study.

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Comments-oriented blog summarization by sentence extraction

Cited by 89 publications

References 6 publications

Exploiting User Comments for Audio-Visual Content Indexing and Retrieval

Exploiting User Comments for Audio-Visual Content Indexing and Retrieval

Text Summarization Techniques: A Brief Survey

A Review on Automatic Text Summarization Approaches

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