Results 1 to 10 of about 17,106 (265)

Linguistically Regularized LSTM for Sentiment Classification [PDF]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017
Sentiment understanding has been a long-term goal of AI in the past decades. This paper deals with sentence-level sentiment classification. Though a variety of neural network models have been proposed very recently, however, previous models either depend on expensive phrase-level annotation, whose performance drops substantially when trained with only ...
Qiao Qian, Minlie Huang, Jinhao Lei, Xiaoyan Zhu 0001   +3 more
openaire   +2 more sources

Multi-grained Sentiment Analysis of Comments Based on Text Generation [PDF]

Jisuanji kexue
With the rise of social media and online review platforms,automated sentiment analysis has become a key tool for understanding public emotions,consumer preferences,and market trends.Traditional sentiment analysis methods often use classification models ...
ZHANG Jiawei, WANG Zhongqing, CHEN Jiali
doaj   +1 more source

Aspect and Sentiment Classification Mechanisms of Student After-Class Self-Evaluated Comments: Investigation on Nonsense Data, Feature Extraction, and Classification Models

Engineering Proceedings, 2023
Students’ after-class self-evaluated comments are useful for understanding students’ learning and reflecting teacher’s teaching. Researchers and engineers have attempted to apply educational data mining techniques, such as text analysis, sentiment ...
Chih-Yueh Chou, Tzu-Yi Chuang
doaj   +1 more source

Sentiment Classification of Food Reviews

CoRR, 2016
Sentiment analysis of reviews is a popular task in natural language processing. In this work, the goal is to predict the score of food reviews on a scale of 1 to 5 with two recurrent neural networks that are carefully tuned. As for baseline, we train a simple RNN for classification. Then we extend the baseline to GRU.
Hua Feng, Ruixi Lin
openaire   +2 more sources

Region-based convolutional neural network using group sparse regularization for image sentiment classification

EURASIP Journal on Image and Video Processing, 2019
As an information carrier with rich semantics, images contain more sentiment than texts and audios. So, images are increasingly used by people to express their opinions and sentiments in social network. The sentiments of the images are overall and should
Haitao Xiong, Qing Liu, Shaoyi Song, Yuanyuan Cai   +3 more
doaj   +1 more source

CORPUS DEVELOPMENT FOR MALAY SENTIMENT ANALYSIS USING SEMI SUPERVISED APPROACH

Asia-Pacific Journal of Information Technology and Multimedia, 2020
Research on sentiment analysis have gained so much interest currently. However, research on Malay sentiment analysis and the availability of the resources is still lacking.
Ezuana Sukawai, Nazlia Omar
doaj   +1 more source

Comparison Research on Text Pre-processing Methods on Twitter Sentiment Analysis

IEEE Access, 2017
Twitter sentiment analysis offers organizations ability to monitor public feeling towards the products and events related to them in real time. The first step of the sentiment analysis is the text pre-processing of Twitter data.
Zhao Jianqiang, Gui Xiaolin
doaj   +1 more source

Cross-Domain Sentiment Classification With Bidirectional Contextualized Transformer Language Models

IEEE Access, 2019
Cross-domain sentiment classification is an important Natural Language Processing (NLP) task that aims at leveraging knowledge obtained from a source domain to train a high-performance learner for sentiment classification on a target domain.
Batsergelen Myagmar, Jie Li, Shigetomo Kimura   +2 more
doaj   +1 more source

Research on text sentiment classification based on improved feature selection method

Dianxin kexue, 2018
An improved information gain feature selection method based on sentiment dictionary was proposed.Firstly,aiming at the existing problems of information gain feature selection,such as paying attention to the frequency of feature word and ignoring the ...
Mingxin LIU, Jing CHEN, Qiyuan WANG
doaj   +2 more sources

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
doaj   +1 more source