Results 211 to 220 of about 4,618 (250)
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Constructing domain-dependent sentiment dictionary for sentiment analysis

Neural Computing and Applications, 2020
Sentiment dictionary is of great value to sentiment analysis, which is used widely in sentiment analysis compositionality. However, the sentiment polarity and intensity of the word may vary from one domain to another. In this paper, we introduce a novel approach to build domain-dependent sentiment dictionary, SentiDomain.
Murtadha Ahmed, Qun Chen, Zhanhuai Li
exaly   +2 more sources

A novel sentiment aware dictionary for multi-domain sentiment classification

Computers and Electrical Engineering, 2018
Abstract Sentiment Analysis is a sub area of Natural Language Processing (NLP) which extracts user’s opinion and classifies it according to its polarity. This task has many applications but it is domain dependent and a costly task to annotate the corpora in every possible domain of interest before training the classifier.
Vandana Jha   +2 more
exaly   +3 more sources

Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary

Future Generation Computer Systems, 2018
Abstract Micro-blog texts contain complex and abundant sentiments which reflect user’s standpoints or opinions on a given topic. However, the existing classification method of sentiments cannot facilitate micro-blog topic monitoring. To solve this problem, this paper presents a sentiment analysis method for Chinese micro-blog text based on the ...
Shunxiang Zhang, Zhongliang Wei
exaly   +2 more sources

Sentiment analysis of microblog text based on sentiment dictionary

E-Learning and Digital Media
This study introduces a method for sentiment analysis applied to microblog texts, leveraging a sentiment dictionary. Focused on discerning sentiments as positive, negative, or neutral, the research incorporates a sentiment dictionary tailored for microblog content.
Gnanapriya S
exaly   +2 more sources

Generating a sentiment dictionary in R and dictionary-based sentiment analysis in Turkish texts

Digital Scholarship in the Humanities, 2022
Abstract Dictionary-based sentiment analysis is a text mining application that allows comments about the sentimental states of the text or documents through the sentimental poles of the words. In recent years, it has become quite popular in many disciplines such as trade, health, education, usage for various purposes.
Bilal Baris Alkan   +2 more
openaire   +1 more source

Research on Sentiment Dictionary Based on Sentiment Analysis in News Domain

2021 7th IEEE Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2021
The known Chinese sentiment dictionary has universal applicability, lacks the expansion of proprietary domains, and lacks support for network words. This paper proposes a new approach and applies it to the Internet news sentiment analysis text provided by the CCF Big Data & Computing Intelligence Contest.
Yihang Gao   +4 more
openaire   +1 more source

Sentiment and sentimental agent identification based on sentimental sentence dictionary

2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008
This paper presents a method of sentiment and sentimental agent identification based on Chinese sentimental sentence dictionary. Our method can identify eight kinds of sentiment (including joy, sorrow, love, disgust, surprise, anxiety, anger and hate), and the main sentimental agent.
Dong Liu   +3 more
openaire   +1 more source

Dynamic Construction of Dictionaries for Sentiment Classification

2013 International Conference on Cloud and Green Computing, 2013
The sentiment classification is one of the new challenges emerged with the advence of social networks. Our purpose is to determine the sentimental orientation of a Facebook comment (positive or negative) by using the linguistic approach. In most of the sentiment analysis applications using this approach, the sentiment lexicon plays a key role. Thus, it
Salma Jamoussi, Hanen Ameur
openaire   +1 more source

Non-English Sentiment Dictionary Construction

Advanced Science Letters, 2018
Rayner Alfred, Alfred Rayner
exaly   +2 more sources

Research on the Construction of Sentiment Dictionary Based on Word2vec

Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence, 2018
The construction of sentiment dictionary is one of the most important basic tasks in the field of text mining. At the moment, there is no universal and complete sentiment dictionary in the field of text mining. In this study, a method of constructing sentiment dictionary based on Word2vec is proposed.
Xiao-yu Song   +4 more
openaire   +1 more source

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