A Review on Negation Role in Twitter Sentiment Analysis

Negation is an important linguistic phenomenon that needs to be considered for identifying correct sentiments from the opinionated data available in digital form. It has the power to alter the polarity or strength of the polarity of affected words. In this paper, the authors present a survey on the negation role that has been done until now in sentiment analysis, specifically Twitter sentiment analysis. The authors discuss the various approaches of modelling negation in Twitter sentiment analysis. In particular, their focus is on negation scope detection and negation handling methods. This article also presents some of the challenges and limits of negation accounting in the field of Twitter sentiment analysis.

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SENTIMENT ANALYSIS BASED ON TWITTER DATA ON VIOLENCE

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10s1.20521 ◽

2017 ◽

Vol 10 (13) ◽

pp. 474

Author(s):

Nihal Jumhare ◽

Raja Rajeswari G ◽

Balaji Jayakrishnan

Keyword(s):

Social Media ◽

Sentiment Analysis ◽

Large Volume ◽

Text Analysis ◽

Marketing Research ◽

Digital Form ◽

Web Resources ◽

Twitter Data

Due to the large volume of opinion-rich web resources such as Twitter, Facebook, blogs, and news available in digital form, and much of the current research is focusing on the area of sentiment analysis using text analysis. People are getting attracted to develop a system that can extract opinions based on their response on social media sites. Algorithms can be developed so as to predict preferences of people to improve economic and marketing research. This paper presents a sentiment analysis on a recent scenario of Uri Attack.

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Approaches and Applications for Sentiment Analysis

10.4018/978-1-7998-8413-2.ch001 ◽

2022 ◽

pp. 1-23

Author(s):

M. Govindarajan

Keyword(s):

Machine Learning ◽

Social Networks ◽

Social Networking ◽

Sentiment Analysis ◽

Supervised Machine Learning ◽

The Internet ◽

Digital Form ◽

Clear Cut ◽

Consumer Review ◽

Networks Analysis

With the increasing penetration of the internet, an ever-growing number of people are voicing their opinions in the numerous blogs, tweets, forums, social networking, and consumer review websites. Each such opinion has a sentiment (positive, negative, or neutral) associated with it. But the problem is that the amount of data is simply overwhelming. Methods like supervised machine learning and lexical-based approaches are available for measuring sentiments that have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services. This chapter presents sentiment analysis applications and challenges with their approaches and tools. The techniques and applications discussed in this chapter will provide a clear-cut idea to the sentiment analysis researchers to carry out their work in this field.

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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 ◽

PENGGUNAAN RINFOCAL SEBAGAI APLIKASI PENGINGAT (REMINDER) KEGIATAN AKADEMIK PADA PERGURUAN TINGGI

CCIT Journal ◽

10.33050/ccit.v9i1.393 ◽

2015 ◽

Vol 9 (1) ◽

pp. 13-26

Author(s):

Indri Handayani ◽

Qurotul Aini ◽

Yessy Oktavyanti

Keyword(s):

Daily Life ◽

Human Life ◽

The Other ◽

Digital Form ◽

Mind Mapping ◽

Literature Reviews ◽

Schedule Time

Progress of technology and its developed is going so rapidly nowadays and it provide big affect on human life, some of them were education and daily life. Due to its development we also know the other form of calendar which is in digital form that we usually found in gadgets such as handphone or tablets and surely it is portable. Rinfo which is an email supporting facilities for the needs of Raharja College may help Pribadi Raharja in coordination and communication about task and/or event. Rinfo has some applications that integrated with Rinfo itself, such as RinfoGroup, RinfoSites, RinfoDocs, RinfoDrive, RinfoH and RinfoCal. RinfoCal is an calendar application that can be use as schedule time reminder application and it will send any reminder not only to one person but some or couple persons. RinfoCal may sent an pop-up notification or email notification. This paper will discuss about what is RinfoCal, how to use it, what’s the purpose of using RinfoCal, benefit of RinfoCal and so on. But, instead of its benefit, there are also some shortages including many people who using Rinfo doesn’t get the benefit of RinfoCal because they just pretending that RinfoCal is just an usual calendar. This paper also present six problems from conventional reminder that will solved by RinfoCal fews are just doing reminders only once at a time or just remembering only one person, a mind mapping to simplify the analyze of problem and make the best solution, eight literature reviews that had been done to help analyzing problems of research.

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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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Manuscript Catalogs and Inventories of Books from the Lands of the Grand Duchy of Lithuania – Some Problems of Publishing Rules

Bibliotheca Lituana ◽

10.15388/bibllita.2012.2.15582 ◽

2012 ◽

Vol 2 ◽

pp. 107-121

Author(s):

Lilia Kowkiel ◽

Arvydas Pacevičius ◽

Iwona Pietrzkiewicz

Keyword(s):

Primary Source ◽

Digital Form ◽

Historical Sources ◽

Historical Texts ◽

Grand Duchy Of Lithuania ◽

Grand Duchy ◽

Book Culture

Historians and publishers of historical sources have a lot of problems with the texts written in different languages and alphabets, which were created at different times, in the multilingual areas inhabited by many nations following different religions. The historians of book culture have the same problems with texts of inventories and catalogues of books, which are the primary source of knowledge about the content of libraries. At present it’s also important the historical texts to be published in the digital form. This article is a part of the discussion on this very important subject.

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