ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity

Shaikh Mostafa Al Masum; Md Tawhidul Islam; Mitsuru Ishizuka

doi:10.1109/CIMCA.2006.51

ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity

Shaikh Mostafa Al Masum^*, Md Tawhidul Islam, Mitsuru Ishizuka

^*Corresponding author for this work

Faculty of Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

7 Citations (Scopus)

Abstract

In this paper, we present a system Affect Sensitive News Agent (ASNA) developed as a news aggregator that fetches news employing several RSS news-feeds and auto-categorizes the news according to affect sensitivity. There are three main factors that distinguish our work from other similar ones. First, we have integrated the approach to sense affective information from news-texts by applying a cognitive theory of emotions known as the OCC model that none have ever considered for news classification. Second, instead of any machine learning algorithm, we used common-sense and current-affairs as our knowledgebase with a rule based approach to assess each line of text by assigning a numerical valence and finally, natural language processing (NLP) technologies are used to perform automated categorization of news stories on the basis of emotional affinity. Relying on these paradigms and content analysis technologies, we have developed a news-browser that can fetch the news from RSS news-feeds and categorizes the theme of the news according to eight emotion-types plus a neutral category for quicker and intuitive understanding.

Original language	English
Title of host publication	CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Print)	0769527310, 9780769527314
DOIs	https://doi.org/10.1109/CIMCA.2006.51
Publication status	Published - 2007
Event	CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce - Sydney, NSW, Australia Duration: 28 Nov 2006 → 1 Dec 2006

Other

Other	CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce
Country/Territory	Australia
City	Sydney, NSW
Period	28/11/06 → 1/12/06

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10.1109/CIMCA.2006.51

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Al Masum, S. M., Islam, M. T., & Ishizuka, M. (2007). ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity. In CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ... (pp. 1-6). [4052763] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CIMCA.2006.51

Al Masum, Shaikh Mostafa ; Islam, Md Tawhidul ; Ishizuka, Mitsuru. / ASNA : An intelligent agent for retrieving and classifying news on the basis of emotion-affinity. CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies .... Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2007. pp. 1-6

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title = "ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity",

abstract = "In this paper, we present a system Affect Sensitive News Agent (ASNA) developed as a news aggregator that fetches news employing several RSS news-feeds and auto-categorizes the news according to affect sensitivity. There are three main factors that distinguish our work from other similar ones. First, we have integrated the approach to sense affective information from news-texts by applying a cognitive theory of emotions known as the OCC model that none have ever considered for news classification. Second, instead of any machine learning algorithm, we used common-sense and current-affairs as our knowledgebase with a rule based approach to assess each line of text by assigning a numerical valence and finally, natural language processing (NLP) technologies are used to perform automated categorization of news stories on the basis of emotional affinity. Relying on these paradigms and content analysis technologies, we have developed a news-browser that can fetch the news from RSS news-feeds and categorizes the theme of the news according to eight emotion-types plus a neutral category for quicker and intuitive understanding.",

author = "{Al Masum}, {Shaikh Mostafa} and Islam, {Md Tawhidul} and Mitsuru Ishizuka",

year = "2007",

doi = "10.1109/CIMCA.2006.51",

language = "English",

isbn = "0769527310",

pages = "1--6",

booktitle = "CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce ; Conference date: 28-11-2006 Through 01-12-2006",

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Al Masum, SM, Islam, MT & Ishizuka, M 2007, ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity. in CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...., 4052763, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce, Sydney, NSW, Australia, 28/11/06. https://doi.org/10.1109/CIMCA.2006.51

ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity. / Al Masum, Shaikh Mostafa; Islam, Md Tawhidul; Ishizuka, Mitsuru.
CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies .... Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 1-6 4052763.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Ishizuka, Mitsuru

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N2 - In this paper, we present a system Affect Sensitive News Agent (ASNA) developed as a news aggregator that fetches news employing several RSS news-feeds and auto-categorizes the news according to affect sensitivity. There are three main factors that distinguish our work from other similar ones. First, we have integrated the approach to sense affective information from news-texts by applying a cognitive theory of emotions known as the OCC model that none have ever considered for news classification. Second, instead of any machine learning algorithm, we used common-sense and current-affairs as our knowledgebase with a rule based approach to assess each line of text by assigning a numerical valence and finally, natural language processing (NLP) technologies are used to perform automated categorization of news stories on the basis of emotional affinity. Relying on these paradigms and content analysis technologies, we have developed a news-browser that can fetch the news from RSS news-feeds and categorizes the theme of the news according to eight emotion-types plus a neutral category for quicker and intuitive understanding.

AB - In this paper, we present a system Affect Sensitive News Agent (ASNA) developed as a news aggregator that fetches news employing several RSS news-feeds and auto-categorizes the news according to affect sensitivity. There are three main factors that distinguish our work from other similar ones. First, we have integrated the approach to sense affective information from news-texts by applying a cognitive theory of emotions known as the OCC model that none have ever considered for news classification. Second, instead of any machine learning algorithm, we used common-sense and current-affairs as our knowledgebase with a rule based approach to assess each line of text by assigning a numerical valence and finally, natural language processing (NLP) technologies are used to perform automated categorization of news stories on the basis of emotional affinity. Relying on these paradigms and content analysis technologies, we have developed a news-browser that can fetch the news from RSS news-feeds and categorizes the theme of the news according to eight emotion-types plus a neutral category for quicker and intuitive understanding.

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SN - 9780769527314

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BT - CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

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ER -

Al Masum SM, Islam MT, Ishizuka M. ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity. In CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies .... Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2007. p. 1-6. 4052763 doi: 10.1109/CIMCA.2006.51

ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity

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