An Approach to Sentiment Analysis of Web Applications in Portuguese

Reviews are a crucial source of opinions that may influence the decision in many areas. So there is a need for an algorithm that is efficient in understanding the aspects that the reviewers have focused on in their reviews and comments on social networks or other web applications. This paper submits a proposed approach for aspect-based sentiment analysis that consists of two steps; the firststep is by a proposedp_chunker algorithm for aspect extraction using Latent Dirchilet Analysis and noun phrase chunking, the second step is sentiment analysis using a proposed hybrid algorithm that depending on both lexicon and supervised sentiment analysis to specify the sentiment for extracted aspects. The proposed paradigm is tested using standard datasets from kaggle for both aspect extraction and sentiment analysis, the result show efficacy in the proposed method.

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An Enhanced Review Classifier for Analyzing User Sentiment

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i10.392 ◽

2017 ◽

Vol 7 (10) ◽

pp. 49

Author(s):

MOUNICA B

Keyword(s):

Data Analysis ◽

Sentiment Analysis ◽

Open Source ◽

Time Complexity ◽

Web Applications ◽

Opinion Mining ◽

Meta Data ◽

Web Information ◽

Normal People ◽

Measure Analysis

Now days, fast developing of web applications, sentiment analysis would be big opportunity to measure analysis of user’s reviews from web information. Sentiment Classification mainly used for analyzing certain event’s or product based on the positive or negative opinions. Dynamic opinion mining will be huge benefit for both normal people and product buyer. Still now, it is a complicated work and big issue. To avoid this, we proposed POS classification based Sentiment analysis. To increase querying time complexity during run time meta data analysis and requires having a remote to initiate content POS requests. Here, we propose to replace the HowNet api with an open-source entropy based proposed POS algorithm that comes with an max-net that will generate similar Pos’s quickly and efficiently.

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What's in a conversation? Addressing the impact of web applications on associate-customer conversations

PsycEXTRA Dataset ◽

10.1037/e576992012-023 ◽

2003 ◽

Author(s):

Jennifer A. Al-Safar ◽

Merrill J. Zavod ◽

Ann C. Fulop

Keyword(s):

Web Applications ◽

The Impact

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DESIGNING E-LEARNING RESOURCES FOR TEACHING MATHEMATICS IN PRIMARY SCHOOL WITH ADOBE FLASH AND HTML5 SYSTEMS

Informatics in school ◽

10.32517/2221-1993-2018-17-7-49-57 ◽

2018 ◽

pp. 49-57

Author(s):

N. A. Gluzman

Keyword(s):

Primary School ◽

Web Applications ◽

Special Importance ◽

Learning Resources ◽

Multimedia Presentations ◽

Adobe Flash ◽

E Learning ◽

High Level ◽

And Training ◽

Training Practice

In the modern educational space regarding the realities of the information society special importance is attached to issues related to the provision of a high level of informatization of education, which implies teachers’ mastering the necessary competencies and the ability to introduce e-learning resources into educational and training practice. Adobe Flash as one of the platforms for creating web applications and multimedia presentations enjoys greatest popularity with users including teachers. However, in connection with the announcement of discontinuing Adobe Flash support in 2020, the issue of choosing an analog to create web applications and presentations for use in teaching purposes is becoming particularly relevant. The article provides a comprehensive analysis of developing electronic educational resources by teachers using Adobe Flash and HTML5 for teaching math in primary school.

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A Survey on various Security Issues in Health Data in Web Applications

International Innovative Research Journal of Engineering and Technology ◽

10.32595/iirjet.org/v5i3.2020.119 ◽

2020 ◽

Vol 5 (3) ◽

pp. 84-89

Author(s):

Maragathavalli P. ◽

Seshankkumar M. ◽

Dhivakaran V. ◽

Ravindran S.

Keyword(s):

Web Applications ◽

Health Data ◽

Security Issues

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Study of Sentiment of Governor's Election Opinion in 2018

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset21841124 ◽

2018 ◽

pp. 231-238

Author(s):

Agung Eddy Suryo Saputro ◽

Khairil Anwar Notodiputro ◽

Indahwati A

Keyword(s):

Sentiment Analysis ◽

Naive Bayes ◽

Naïve Bayes ◽

Addition Method ◽

Sentiment Mining ◽

Positive Sentiment ◽

An historical analysis of species references in American English

Corpora ◽

10.3366/cor.2019.0177 ◽

2019 ◽

Vol 14 (3) ◽

pp. 327-349

Author(s):

Craig Frayne

Keyword(s):

Environmental Change ◽

Sentiment Analysis ◽

Quantitative Methods ◽

English Language ◽

Language Use ◽

American English ◽

Historical Analysis ◽

The Past ◽

Corpus Studies ◽

Google Books

This study uses the two largest available American English language corpora, Google Books and the Corpus of Historical American English (coha), to investigate relations between ecology and language. The paper introduces ecolinguistics as a promising theme for corpus research. While some previous ecolinguistic research has used corpus approaches, there is a case to be made for quantitative methods that draw on larger datasets. Building on other corpus studies that have made connections between language use and environmental change, this paper investigates whether linguistic references to other species have changed in the past two centuries and, if so, how. The methodology consists of two main parts: an examination of the frequency of common names of species followed by aspect-level sentiment analysis of concordance lines. Results point to both opportunities and challenges associated with applying corpus methods to ecolinguistc research.

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