Generating Multilingual Subjectivity Resources using English Language

Jha, Vandana; Shreedevi, G.; Shenoy, P. Deepa; Venugopal, K R

doi:10.5120/ijca2016911946

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…The following analysis of subjectivity is automatic and based on subjectivity lexicons. This methodology is employed in some related works [Amorim et al 2018;Sales et al 2019;Moraes et al 2016;Jha et al 2016;Lima et al 2019]. Amorim et al [2018], for example, utilizes the subjectivity calculation approach using lexicons to evaluate comments given by ENEM, a Brazilian high school leaving exam, essay reviewers.…”

Section: Related Workmentioning

confidence: 99%

A new approach for measuring subjectivity in Brazilian news

Lima

Melo

Carvalho

et al. 2020

jidm

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With the advent of digital journalism, information democratization has become a reality since news articles are published as soon as the facts occur, and that they are accessible from any device connected to the internet. It is common sense the perception that some media outlets are more biased than others when it comes to the way of exposing the facts. However, automatic ways of measuring such biases is still an open research challenge. Under the assumption that journalistic texts must have an objective and impartial language, high levels of subjectivity in these texts may indicate bias. This paper proposes an initial analysis on the usage of subjectivity lexicons to characterize subjectivity in seven popular media outlets in Brazil. To better understand the obtained results, we carried out a correlation analysis between the levels of subjectivity, readability, and news popularity metrics. The adopted methods, along with the findings obtained from this research, may contribute to a better understanding of the linguistic characteristics of the news that readers consume daily in Brazil.

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Section: Related Workmentioning

confidence: 99%

A new approach for measuring subjectivity in Brazilian news

Lima

Melo

Carvalho

et al. 2020

jidm

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“…Papers [16,18,19], and [22] focused on opinion mining of Hindi movie reviews and subjectivity analysis respectively. Paper [21] created a multi-domain sentiment aware dictionary using product reviews.…”

Section: Review Analysis and Miningmentioning

confidence: 99%

Reputation Systems: Evaluating Reputation Among All Good Sellers

Jha

Ramu

Shenoy

et al. 2017

Data-Enabled Discov. Appl.

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A reputation system assists people selecting whom to trust, encourages trustworthy action, and discourages participation of unskilled or dishonest. The "all good reputation" problem is common in current reputation systems, especially in e-commerce domain, making it difficult for buyers to choose credible sellers. Observing high growth of online data in Hindi language, in this paper, we propose a reputation system in this language. The functions of this system include (1) review mining for different criteria of online transactions, (2) calculation of reputation rating using Bayesian method, (3) calculation of reputation weight using typed dependency relation representation and Latent Dirichlet Allocation topic modeling technique for each criteria from user reviews, and (4) ranking sellers based on computed reputation score. Extensive simulations conducted on eBay dataset and TripAdvisor dataset show its effectiveness in solving "all good reputation" problem. So far, as our knowledge is concerned, this is the first work in Hindi language on reputation system. Keywords E-commerce · Hindi · Natural language processing · Reputation system · Review mining Highlights -The proposed Reputation System is a solution to "all good reputation" problem in e-commerce domain.Vandana Jha vjvandanajha@gmail.com 1 Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India -Our system is implemented on Hindi language Product reviews and Hotel reviews. It can be easily extended to any reviews in e-commerce domain by using language specific parser and tagger. -Several experiments have been performed and the results obtained are more accurate in ranking the sellers. -Our system is compared with existing system for ranking the sellers. The sellers which were at the same rank using existing system, can be accurately ranked at different levels using our approach.

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Unsupervised sentiment analysis of Hindi reviews using MCDM and game model optimization techniques

PUNETHA,

JAIN

2023

Sādhanā

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Generating Multilingual Subjectivity Resources using English Language

Cited by 3 publications

References 21 publications

A new approach for measuring subjectivity in Brazilian news

A new approach for measuring subjectivity in Brazilian news

Reputation Systems: Evaluating Reputation Among All Good Sellers

Unsupervised sentiment analysis of Hindi reviews using MCDM and game model optimization techniques

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