scholarly journals Application of Sentiment Analysis in Understanding Human Emotions and Behaviour

Author(s):  
Sweta Saraff ◽  
Roman Taraban ◽  
Rishipal Rishipal ◽  
Ramakrishna Biswal ◽  
Shweta Kedas ◽  
...  
2021 ◽  
Vol 11 (22) ◽  
pp. 46-61
Author(s):  
Danijela Lucić ◽  
Josip Katalinić ◽  
Tomislav Dokman

Social media have become an important means of imposing ideas and interests in social‏ conflicts. The Syrian conflict is analysed using sentiment analysis of tweets in order to establish how the‏ sentiment shapes the modern political landscape and influences recipient knowledge. The importance of‏ social networks and their potential in overthrowing regimes as well as in radicalization are highlighted.‏ The authors suggest several stages that can be used for analysing tweets and how they impact the reader‏ with selected narration. Sentiment analysis is used on a trained data set as a way to gain insight into‏ tweets of different factions in the Syria conflict. Selected tweets on missile strikes were published on 14‏ April 2018 and the day after. The Twitter profiles of three different sides – pro-Assad, pro-West and anti-‏ Assad – were also analysed. The results show that there is a real battle on social media with the purpose‏ of influencing human emotions.


Author(s):  
Agung Eddy Suryo Saputro ◽  
Khairil Anwar Notodiputro ◽  
Indahwati A

In 2018, Indonesia implemented a Governor's Election which included 17 provinces. For several months before the Election, news and opinions regarding the Governor's Election were often trending topics on Twitter. This study aims to describe the results of sentiment mining and determine the best method for predicting sentiment classes. Sentiment mining is based on Lexicon. While the methods used for sentiment analysis are Naive Bayes and C5.0. The results showed that the percentage of positive sentiment in 17 provinces was greater than the negative and neutral sentiments. In addition, method C5.0 produces a better prediction than Naive Bayes.


Corpora ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 327-349
Author(s):  
Craig Frayne

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.


2009 ◽  
Vol 50 (1-2) ◽  
pp. 3-27
Author(s):  
Balázs Mikusi

The long-held notion that Bartók’s style represents a unique synthesis of features derived from folk music, from the works of his best contemporaries, as well as from the great classical masters has resulted in a certain asymmetry in Bartók studies. This article provides a short overview of the debate concerning the “Bartókian synthesis,” and presents a case study to illuminate how an ostensibly “lesser” historical figure like Domenico Scarlatti could have proved important for Bartók in several respects. I suggest that it must almost certainly have been Sándor Kovács who called Scarlatti’s music to Bartók’s attention around 1910, and so Kovács’s 1912 essay on the Italian composer may tell us much about Bartók’s Scarlatti reception as well. I argue that, while Scarlatti’s musical style may indeed have appealed to Bartók in more respects than one, he may also have identified with Scarlatti the man, who (in Kovács’s interpretation) developed a thoroughly ironic style in response to the unavoidable loneliness that results from the impossibility of communicating human emotions (an idea that must have intrigued Bartók right around the time he composed his Duke Bluebeard’s Castle ). In conclusion I propose that Scarlatti’s Sonata in E major (L21/K162), which Bartók performed on stage and also edited for an instructive publication, may have inspired the curious structural model that found its most clear-cut realization in Bartók’s Third Quartet.


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