Results 41 to 50 of about 657,442 (194)

A Barrage Sentiment Analysis Scheme Based on Expression and Tone

IEEE Access, 2019
Most of existing methods do not consider the influence of expression and tone on barrage sentiment analysis. This decreases the effect and accuracy of barrage sentiment analysis.
Zongmin Cui, Quanlei Qiu, Chao Yin, Jing Yu, Zongda Wu, Anyuan Deng   +5 more
doaj   +1 more source

Search engine For Twitter sentiment analysis [PDF]

, 2015
textThe purpose of sentiment analysis is to determine the attitude of a writer or a speaker with respect to some topic or his feeling in a document. Thanks to the rise of social media, nowadays there are numerous data generated by users.
Chen, Jiajun, M.S. in Statistics
core   +1 more source

Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations

IEEE Access, 2021
Sentiment analysis is crucial for studying public opinion since it can provide us with valuable information. Existing sentiment analysis methods rely on finding the sentiment element from the content of user-generated.
Zunwang Ke, Jiabao Sheng, Zhe Li, Wushour Silamu, Qinglang Guo   +4 more
doaj   +1 more source

Refined Global Word Embeddings Based on Sentiment Concept for Sentiment Analysis

IEEE Access, 2021
Sentiment Analysis is an important research direction of natural language processing, and it is widely used in politics, news and other fields. Word embeddings play a significant role in sentiment analysis.
Yabing Wang, Guimin Huang, Jun Li, Hui Li, Ya Zhou, Hua Jiang   +5 more
doaj   +1 more source

Automatic Dream Sentiment Analysis [PDF]

, 2006
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph, Matwin, Stan, Nadeau, David, Sabourin, Catherine, Turney, Peter D.   +4 more
core  

Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic Text

Journal of Intelligent Systems, 2020
Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a given piece of text. It lies at the intersection of many fields such as Natural Language Processing (NLP), Computational Linguistics, and Data Mining. Sentiments
Elfaik Hanane, Nfaoui El Habib
doaj   +1 more source

A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon

Complexity, 2021
Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Sentiment lexicon is an essential tool for sentiment analysis.
Maokang Du, Xiaoguang Li, Longyan Luo
doaj   +1 more source

Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold [PDF]

, 2013
Sentiment analysis over Twitter offers organisations and individuals a fast and effective way to monitor the publics' feelings towards them and their competitors.
Alani, Harith, Fernández, Miriam, He, Yulan, Saif, Hassan   +3 more
core   +1 more source

Sentiment Analysis for Exploratory Data Analysis

The Programming Historian, 2018
In this lesson you will learn to conduct 'sentiment analysis' on texts and to interpret the results. This is a form of exploratory data analysis based on natural language processing.
Zoë Wilkinson Saldaña
doaj  

Enhancing implicit sentiment analysis via knowledge enhancement and context information

Complex & Intelligent Systems
Sentiment analysis (SA) is a vital research direction in natural language processing (NLP). Compared with the widely-concerned explicit sentiment analysis, implicit sentiment analysis (ISA) is more challenging and rarely studied due to the lack of ...
Yanying Mao, Qun Liu, Yu Zhang
doaj   +1 more source