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Sentiment analysis of microblog text based on sentiment dictionary
E-Learning and Digital MediaThis 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. The experiment employs a dataset pertaining to the new coronavirus epidemic
Gnanapriya S, Anandan K
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Dynamic Construction of Dictionaries for Sentiment Classification
2013 International Conference on Cloud and Green Computing, 2013The 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
Hanen Ameur, Salma Jamoussi
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CSR & Sentiment Analysis: A New Customized Dictionary
2023Communication concerning the CSR pillars is key to sustainable corporate development. Sentiment analysis (SA) is a sub-area of natural language processing for studying communication through the classification of negative or positive opinions. Measuring sentiment is characterized by pitfalls related to: a) the context, where the polarity classification ...
Emma Zavarrone, Alessia Forciniti
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Sentiment Analysis of Korean Teenagers’ Language Based on Sentiment Dictionary Construction
2019This paper is to introduce Korean teenagers’ sentiment analysis through composing the Korean sentiment dictionary for teenagers’ language which is using KoNLPy and an algorithm for text sentiment analysis based on N-Gram concept which is used to calculate sentiment score from sentences.
Jason Kim +6 more
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Sentiment Value Propagation for an Integral Sentiment Dictionary Based on Commonsense Knowledge
2011 International Conference on Technologies and Applications of Artificial Intelligence, 2011With the rise of social media, sentiment analysis has become a popular research field in recent years. A sentiment dictionary plays an important role in sentiment analysis. To remedy the lack of Chinese sentiment dictionary, researches translate English sentiment dictionaries to Chinese before using them in their applications.
Hui-Hsin Wu +3 more
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Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary
Future Generation Computer Systems, 2018Abstract 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 +3 more
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Sentiment Analysis of Film Review Texts Based on Sentiment Dictionary and SVM
Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence, 2019The sentiment analysis of the film review text is to extract and analyze the hidden sentiment information in the text data, thereby helping the network personnel such as the media platform to analyze the audience's preference for the film. Based on this, this paper proposes a film review text sentiment analysis method based on SVM classification ...
Kui Lu, Jiesheng Wu
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Sentiment Dictionary Refinement Using Word Embeddings
2015Previous works on Polish sentiment dictionaries revealed the superiority of machine learning on vectors created from word contexts (concordances or word co-occurrence distributions), especially compared to the SO-PMI method (semantic orientation of pointwise mutual information).
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Dictionary-based sentiment analysis with crowdcoding
2015Negativity is an important dimension in the social sciences: e.g. in the study of news values, negative campaigning or political polarization. Our paper presents a supervised procedure for fine-grained negative sentiment analysis at the sentence level. We develop a dictionary of negative valued political vocabulary and establish the dictionary’s terms’
Haselmayer, Martin, Jenny, Marcelo
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Non-English Sentiment Dictionary Construction
Advanced Science Letters, 2018Khalifa Chekima, Rayner Alfred
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