scholarly journals Software vulnerability prediction using text analysis techniques

2012 ◽  
Author(s):  
Aram Hovsepyan ◽  
Riccardo Scandariato ◽  
Wouter Joosen ◽  
James Walden
Keyword(s):  
Text Analysis ◽  
Software Vulnerability ◽  
Analysis Techniques ◽  
Vulnerability Prediction

Brand Positioning and Segmentation of Sneakers through Multi-Dimensional Customer Experience Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 335-345
Author(s):  
R. Senthilkumar ◽  
B. RubanRaja ◽  
Monisha
Keyword(s):  
Text Analysis ◽  
Customer Experience ◽  
Structured Data ◽  
Multivariate Techniques ◽  
Brand Positioning ◽  
Customer Reviews ◽  
Perceptual Mapping ◽  
Analysis Techniques ◽  
Hidden Patterns ◽  
And Cluster Analysis

A huge corpus of valuable information on customer experience is available as unstructured form in customer reviews on e-commerce websites. Multivariate data analysis techniques are effective in uncovering hidden patterns and segments in structured data. A major challenge is to convert the unstructured data into a structured form for applying multivariate techniques. In this article, we have provided a text analysis based approach coupled with multivariate techniques to uncover the sentiment of various features associated with different brands and to determine the brand positions and segments through perceptual mapping and cluster analysis.

scholarly journals INDIGO DALAM NOVEL SUPERNOVA AKAR KARYA DEE LESTARI: KAJIAN PSIKOLOGI SASTRA

EDU-KATA ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 141-148
Author(s):  
Erna Rakhmawati
Keyword(s):  
Data Analysis ◽  
Text Analysis ◽  
Textual Analysis ◽  
Literary Works ◽  
Analysis Techniques ◽  
Descriptive Research ◽  
Qualitative Descriptive ◽  
The Subject

The background of this research is many indigo events in the community and many indigo literary works. Indigo research in the  “Indigo dalam Novel Supernova Akar Karya Dee Lestari:Tinjauan Psikologi Sastra,” first aims to find the description of the indigo abilities experienced by the characters, secodly to find the causes of indigo experienced by characters, and thirdly to find out the type of indigo experienced by characters in the Supernova Akar. The research includes qualitative descriptive research on data analysis techniques using textual analysis or text analysis. The subject of this study is a character in the Supernova Akar. The result of research that is narated by Dee lestari source are; 1)levitasi, 2) procegnition, 30 psicometri, 4) teleportasi, and 5) clayvoyance. Indigo causes experienced by characters in the Supernova Akar are; 1) a gift from God, 2) from offspring, and from training. The type of indigo experienced by characters in the Supernova Akar are; humanis and artis.

A Study and Comparison of Sentiment Analysis Techniques Using Demonetization

2019 ◽  
pp. 1-14 ◽  
Author(s):  
Krishna Kumar Mohbey ◽  
Brijesh Bakariya ◽  
Vishakha Kalal
Keyword(s):  
Sentiment Analysis ◽  
Text Analysis ◽  
Analytical Approach ◽  
Document Type ◽  
Analysis Techniques

Sentiment analysis is an analytical approach that is used for text analysis. The aim of sentiment analysis is to determine the opinion and subjectivity of any opinion, review, or tweet. The aim of this chapter is to study and compare some of the techniques used to classify opinions using sentiment analysis. In this chapter, different techniques of sentiment analysis have been discussed with the case study of demonetization in India during 2016. Based on the sentiment analysis, people's opinion can be classified on different polarities such as positive, negative, or neutral. These techniques will be classified on different categories based on size of data, document type, and availability. In addition, this chapter also discusses various applications of sentiment analysis techniques in different domains.

A Survey on Sentiment Analysis Techniques for Twitter

2022 ◽  
pp. 57-90
Author(s):  
Surabhi Verma ◽  
Ankit Kumar Jain
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Text Analysis ◽  
Analysis Techniques ◽  
Goods And Services ◽  
Text Document ◽  
The Subject ◽  
Over Time

People regularly use social media to express their opinions about a wide variety of topics, goods, and services which make it rich in text mining and sentiment analysis. Sentiment analysis is a form of text analysis determining polarity (positive, negative, or neutral) in text, document, paragraph, or clause. This chapter offers an overview of the subject by examining the proposed algorithms for sentiment analysis on Twitter and briefly explaining them. In addition, the authors also address fields related to monitoring sentiments over time, regional view of views, neutral tweet analysis, sarcasm detection, and various other tasks in this area that have drawn the researchers ' attention to this subject nearby. Within this chapter, all the services used are briefly summarized. The key contribution of this survey is the taxonomy based on the methods suggested and the debate on the theme's recent research developments and related fields.

Summarizing Opinions with Sentiment Analysis from Multiple Reviews on Travel Destinations

2018 ◽  
Vol 9 (2) ◽  
pp. 111-120
Author(s):  
Argha Roy ◽  
Shyamali Guria ◽  
Suman Halder ◽  
Sayani Banerjee ◽  
Sourav Mandal
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Efficient Method ◽  
Text Analysis ◽  
Human Life ◽  
Analysis Techniques ◽  
Classification Technique ◽  
Textual Data ◽  
The Web

Recently, the web has been crowded with growing volumes of various texts on every aspect of human life. It is difficult to rapidly access, analyze, and compose important decisions using efficient methods for raw textual data in the form of social media, blogs, feedback, reviews, etc., which receive textual inputs directly. It proposes an efficient method for summarization of various reviews of tourists on a specific tourist spot towards analyzing their sentiments towards the place. A classification technique automatically arranges documents into predefined categories and a summarization algorithm produces the exact condensed input such that output is most significant concepts of source documents. Finally, sentiment analysis is done in summarized opinion using NLP and text analysis techniques to show overall sentiment about the spot. Therefore, interested tourists can plan to visit the place do not go through all the reviews, rather they go through summarized documents with the overall sentiment about target place.

scholarly journals Application of Barthes’ “Death of the Author” to Qur'an: Possible or Impossible?

2015 ◽  
Vol 56 ◽  
pp. 90-102
Author(s):  
Mohammad Saber Khaghaninejad
Keyword(s):  
Text Analysis ◽  
Textual Analysis ◽  
Islamic Theology ◽  
Analysis Techniques ◽  
The World ◽  
Different Types ◽  
Death Of The Author ◽  
Holy Book ◽  
Qur'anic Interpretation ◽  
Islamic Literature

Qur'an as the sacred book of Muslims has been subjected to different types of interpretations from the beginning of its revelations, approximately from 1400 years ago. All the Islamic theology scholars, even unmuslims, tried to make a contribution as the best of their abilities to its understanding. By the advent of new post-structuralist approaches of textual analysis techniques in West, the possibility of interpreting this holy book has obsessed the modern textual analysts all over the world. This article tried to investigate the possibility of Barthes’ “Death of the Author” as one of the most controversial theories of modern text analysis. Considering the fact that, the author of Qur'an has not been a human to compose the text based on the dominant social, cultural and economical context of that time, the application of Barthes’ “Death of the Author” to the Qur'anic interpretation seems to be logically impossible. Furthermore, as the Qur'anic verses are classified into two categories of “Mohkamaat” and “Motashabehaat” based on Quran itself, this theory of text analysis can be utmost be applied to the latter in order to offer a better comprehension of the “Mohkamaat” as there are various interpretations of these “ayahs” in Islamic literature.

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