Results 21 to 30 of about 3,503 (268)

Building Machine Learning Based Senti-word Lexicon for Sentiment Analysis

Journal of Advances in Information Technology, 2011
Sentiment analysis involves classifying opinions in text into categories like "positive" or "negative". One of approaches used to make sentiment classification is using sentiment lexicon.
Alaa Hamouda, Mahmoud Marei, Mohamed Rohaim   +2 more
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Sentiment Lexicon Construction Method Based on Label Propagation [PDF]

Jisuanji gongcheng, 2018
Traditional sentiment lexicon construction methods have problems such as relying on semantic knowledge base,limited coverage and poor domain adaptability.Aiming at these problems,this paper proposes a method to construct sentiment lexicon based on label ...
ZHANG Pu,WANG Junxia,WANG Yinghao
doaj   +1 more source

Does BERT Look at Sentiment Lexicon?

, 2022
The main approaches to sentiment analysis are rule-based methods and ma-chine learning, in particular, deep neural network models with the Trans-former architecture, including BERT. The performance of neural network models in the tasks of sentiment analysis is superior to the performance of rule-based methods.
Elena Razova, Sergey Vychegzhanin, Evgeny Kotelnikov   +2 more
openaire   +2 more sources

A Novel Emotion Lexicon for Chinese Emotional Expression Analysis on Weibo: Using Grounded Theory and Semi-Automatic Methods

IEEE Access, 2021
As one of the most popular social media platforms in China, Weibo has aggregated huge numbers of texts containing people’s thoughts, feelings, and experiences. Analyzing emotions expressed on Weibo has attracted a great deal of academic attention.
Liang Xu, Linjian Li, Zehua Jiang, Zaoyi Sun, Xin Wen, Jiaming Shi, Rui Sun, Xiuying Qian   +7 more
doaj   +1 more source

Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network

Applied Sciences, 2023
Sentiment analysis has become an important area of research in natural language processing. This technique has a wide range of applications, such as comprehending user preferences in ecommerce feedback portals, politics, and in governance.
James Mutinda, Waweru Mwangi, George Okeyo   +2 more
doaj   +1 more source

Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis

IEEE Access, 2018
Long short-term memory networks (LSTMs) have gained good performance in sentiment analysis tasks. The general method is to use LSTMs to combine word embeddings for text representation.
Xianghua Fu, Jingying Yang, Jianqiang Li, Min Fang, Huihui Wang   +4 more
doaj   +1 more source

The Construction of Sentiment Lexicon Based on Context-Dependent Part-of-Speech Chunks for Semantic Disambiguation

IEEE Access, 2020
Sentiment lexicon, which provides sentiment information for words, plays an important role in sentiment analysis task. Currently, most of sentiment lexicons have only one sentiment polarity for each word and ignore sentimental ambiguity.
Fulian Yin, Yanyan Wang, Jianbo Liu, Lisha Lin   +3 more
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Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning

Frontiers in Artificial Intelligence, 2022
Sentiment-aware intelligent systems are essential to a wide array of applications. These systems are driven by language models which broadly fall into two paradigms: Lexicon-based and contextual.
Thayer Alshaabi, Thayer Alshaabi, Colin M. Van Oort, Colin M. Van Oort, Mikaela Irene Fudolig, Michael V. Arnold, Christopher M. Danforth, Christopher M. Danforth, Peter Sheridan Dodds, Peter Sheridan Dodds   +9 more
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Lexicon-Enhanced Attention Network Based on Text Representation for Sentiment Classification

Applied Sciences, 2019
Text representation learning is an important but challenging issue for various natural language processing tasks. Recently, deep learning-based representation models have achieved great success for sentiment classification. However, these existing models
Wenkuan Li, Dongyuan Li, Hongxia Yin, Lindong Zhang, Zhenfang Zhu, Peiyu Liu   +5 more
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RICH SEMANTIC SENTIMENT ANALYSIS USING LEXICON BASED APPROACH

ICTACT Journal on Soft Computing, 2017
Web is a huge repository of information, and a massive amount of data is generated everyday on online platforms. Information, can be facts and opinions, facts are objective statements about an event, and opinions are subjective statements that reflect ...
Hedayatullah Lodin, Prem Balani
doaj   +1 more source