Results 61 to 70 of about 657,442 (194)

Improving the Performance of Sentiment Analysis of Tweets Containing Fuzzy Sentiment Using the Feature Ensemble Model

open access: yesIEEE Access, 2020
The increase in the volume of user-generated content on Twitter has resulted in tweet sentiment analysis becoming an essential tool for the extraction of information about Twitter users' emotional state.
Huyen Trang Phan   +3 more
doaj   +1 more source

Sentiment Analysis

open access: yes, 2014
Recent advances in machine learning have led to computer systems that are human-like in behaviour. Sentiment analysis, the automatic determination of emotions in text, is allowing us to capitalize on substantial previously unattainable opportunities in commerce, public health, government policy, social sciences, and art.
  +5 more sources

Toward Multimodal Sentiment Analysis of Historic Plays

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2019
We present a case study as part of a work-in-progress project about multimodal sentiment analysis on historic German plays, taking Emilia Galotti by G. E. Lessing as our initial use case. We analyze the textual version and an audio version (audio book).
Thomas Schmidt   +2 more
doaj   +1 more source

Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning

open access: yesIEEE Access, 2020
In recent years, with the rapid development of Internet technology, online shopping has become a mainstream way for users to purchase and consume. Sentiment analysis of a large number of user reviews on e-commerce platforms can effectively improve user ...
Li Yang   +3 more
doaj   +1 more source

Automatic domain ontology extraction for context-sensitive opinion mining [PDF]

open access: yes, 2009
Automated analysis of the sentiments presented in online consumer feedbacks can facilitate both organizations’ business strategy development and individual consumers’ comparison shopping.
Lai, Chapmann C.L.   +3 more
core   +2 more sources

A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction

open access: yesIEEE 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   +3 more
doaj   +1 more source

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

open access: yes, 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   +5 more
core   +1 more source

The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition

open access: yes, 2016
Negators, modals, and degree adverbs can significantly affect the sentiment of the words they modify. Often, their impact is modeled with simple heuristics; although, recent work has shown that such heuristics do not capture the true sentiment of multi ...
Kiritchenko, Svetlana, Mohammad, Saif M.
core   +1 more source

CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps Based on Sentiment Analysis of Reviews [PDF]

open access: gold, 2020
Franklin TchakountĂ©   +3 more
openalex   +1 more source

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

open access: yesJOIN: 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   +3 more
doaj   +1 more source

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