NDLI: Message Significance in Multilingual Blogs using Topic-based Aspect Clusters

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Message Significance in Multilingual Blogs using Topic-based Aspect Clusters

Content Provider	ACM Digital Library
Author	Pawar, Jyoti D. Asnani, Kavita S.
Abstract	Social networking forums like Twitter, Facebook and other blogs are easy to access and are highly popular. The growth in such rich social media content has led to the generation of petabytes of data on the web. The social media content has renewed interest in research as the trend of using multiple languages in routine communication is getting rapidly popular. Such large chat content repositories of multilingual data are usually noisy and are represented in highly sparse structures. This situation is generating increasing interest in automatically extracting and clustering aspects from multi-lingual data. The proposed research offers a novel method based on probabilistic topic model for aspect identification and extraction of aspects (explicit as well as implicit) and aspect clustering for multilingual blog data. The words in multiple languages may randomly occur within and across the blog messages. We have experimentally proved that it is possible to use this strategy to discover aspect clusters comprising of semantically implicit themes. We tested our system using FIRE 2014 dataset.
Starting Page	154
Ending Page	157
Page Count	4
File Format	PDF
ISBN	9781450342780
DOI	10.1145/2909067.2909096
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multilingual blogs Semantic score Message significance Probabilistic topic model Aspect extraction Plsa
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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