Large-scale sentiment analysis for news and blogs

Namrata Godbole; Manjunath Srinivasaiah; Steven Skiena

Large-scale sentiment analysis for news and blogs

Namrata Godbole
, Manjunath Srinivasaiah
, Steven Skiena

Computer Science

Alphabet Inc.

Research output: Contribution to conference › Paper › peer-review

194 Scopus citations

Abstract

Newspapers and blogs express opinion of news entities (people, places, things) while reporting on recent events. We present a system that assigns scores indicating positive or negative opinion to each distinct entity in the text corpus. Our system consists of a sentiment identification phase, which associates expressed opinions with each relevant entity, and a sentiment aggregation and scoring phase, which scores each entity relative to others in the same class. Finally, we evaluate the significance of our scoring techniques over large corpus of news and blogs.

Original language	English
State	Published - 2007
Event	2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO, United States Duration: Mar 26 2007 → Mar 28 2007

Conference

Conference	2007 International Conference on Weblogs and Social Media, ICWSM 2007
Country/Territory	United States
City	Boulder, CO
Period	03/26/07 → 03/28/07

Cite this

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title = "Large-scale sentiment analysis for news and blogs",

abstract = "Newspapers and blogs express opinion of news entities (people, places, things) while reporting on recent events. We present a system that assigns scores indicating positive or negative opinion to each distinct entity in the text corpus. Our system consists of a sentiment identification phase, which associates expressed opinions with each relevant entity, and a sentiment aggregation and scoring phase, which scores each entity relative to others in the same class. Finally, we evaluate the significance of our scoring techniques over large corpus of news and blogs.",

author = "Namrata Godbole and Manjunath Srinivasaiah and Steven Skiena",

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T1 - Large-scale sentiment analysis for news and blogs

AU - Godbole, Namrata

AU - Srinivasaiah, Manjunath

AU - Skiena, Steven

PY - 2007

Y1 - 2007

N2 - Newspapers and blogs express opinion of news entities (people, places, things) while reporting on recent events. We present a system that assigns scores indicating positive or negative opinion to each distinct entity in the text corpus. Our system consists of a sentiment identification phase, which associates expressed opinions with each relevant entity, and a sentiment aggregation and scoring phase, which scores each entity relative to others in the same class. Finally, we evaluate the significance of our scoring techniques over large corpus of news and blogs.

AB - Newspapers and blogs express opinion of news entities (people, places, things) while reporting on recent events. We present a system that assigns scores indicating positive or negative opinion to each distinct entity in the text corpus. Our system consists of a sentiment identification phase, which associates expressed opinions with each relevant entity, and a sentiment aggregation and scoring phase, which scores each entity relative to others in the same class. Finally, we evaluate the significance of our scoring techniques over large corpus of news and blogs.

UR - https://www.scopus.com/pages/publications/84893386315

M3 - Paper

AN - SCOPUS:84893386315

T2 - 2007 International Conference on Weblogs and Social Media, ICWSM 2007

Y2 - 26 March 2007 through 28 March 2007

ER -

Large-scale sentiment analysis for news and blogs

Abstract

Conference

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