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Anatomy of Sentiment Analysis in Ontological, Epistemological, and Axiological Perspectives

JOIN: Jurnal Online Informatika
The aim of this article was to examine sentiment analysis methods from the perspective of the philosophy of science with three approaches, ontological, epistemological and axiological.
M. Noer Fadli Hidayat, Didik Dwi Prasetya, Triyanna Widiyaningtyas, Syaad Patmanthara   +3 more
doaj   +1 more source

Exploiting emoticons in sentiment analysis

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
As people increasingly use emoticons in text in order to express, stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to correctly account for such graphical cues for sentiment. We analyze how emoticons typically convey sentiment and demonstrate how we can exploit this by using a novel, manually created ...
Malissa Bal, Alexander Hogenboom, Daniella Bal, Franciska de Jong, Flavius Frasincar, Uzay Kaymak   +5 more
openaire   +4 more sources

A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction

IEEE Access
Sentiment analysis is a task in natural language processing that focuses on identifying and categorizing emotions expressed in text. Despite the remarkable predictive performance achieved by deep learning models in this domain, their limited ...
Thanakorn Chaisen, Phasit Charoenkwan, Cheong Ghil Kim, Pree Thiengburanathum   +3 more
doaj   +1 more source

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

, 2017
In online social networks people often express attitudes towards others, which forms massive sentiment links among users. Predicting the sign of sentiment links is a fundamental task in many areas such as personal advertising and public opinion analysis.
Guo, Minyi, Hou, Min, Liu, Qi, Wang, Hongwei, Xie, Xing, Zhang, Fuzheng   +5 more
core   +1 more source

Social Media Sentiment Analysis

Encyclopedia
Social media sentiment analysis is the computational detection and extraction of human subjective evaluation of objects embedded on social media. Previous sentiment analysis was conducted on isolated written texts, and typically classified sentiment into
Joyce Y. M. Nip, Benoit Berthelier
doaj   +1 more source

Sentiment Analysis in Social Streams [PDF]

, 2016
In this chapter, we review and discuss the state of the art on sentiment analysis in social streams—such as web forums, microblogging systems, and social networks, aiming to clarify how user opinions, affective states, and intended emo tional effects are extracted from user generated content, how they are modeled, and howthey could be ...
Saif, Hassan, Ortega Rodríguez, Francisco Javier, Fernández, Miriam, Cantador, Iván, Tkalčič, Marko (Coordinador), Carolis, Bernardina de (Coordinador), Gemmis, Marco de (Coordinador), Odić, Ante (Coordinador), Košir, Andrej (Coordinador)   +8 more
openaire   +2 more sources

Semi-supervised latent variable models for sentence-level sentiment analysis [PDF]

, 2011
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as a small amount of manually crafted sentence labels, to learn sentence-level
McDonald, Ryan, Täckström, Oscar
core   +1 more source

Natural Language Processing for Sentiment Analysis in Socialmedia Techniques and Case Studies [PDF]

ITM Web of Conferences
Social media platforms have become a significant medium for expressing opinions, emotions, and sentiments, making sentiment analysis a crucial task in Natural Language Processing (NLP).
Veluswamy Anusha Sowbarnika, A Nagamani, M SilpaRaj, D Yobu, M Ashwitha, V Mangaiyarkaras   +5 more
doaj   +1 more source

Understanding Human Sentiments With The Help Of Sentiment Analysis

, 2017
International Journal of Science & Engineering Development Research (An International Open Access Journal) ISSN: 2455-2631 Impact Factor 5 ...
Pooja Bhatia, Pratik Watwani
openaire   +2 more sources

Sentiment Potential Analysis [PDF]

, 2021
One of the main problems in assigning sentiment values is the inherent subjectivity of evaluating the sentiment of a text, lexical ambiguity, polysemy, and domain- and culture- specific word sense. We address these problems by integrating the corpus-based syntactic- semantic dependency graph layer, lexical semantic and sentiment dictionaries.
Ban Kirigin, Tajana, Bujačić Babić, Sanda, Perak, Benedikt   +2 more
openaire   +1 more source