Results 251 to 260 of about 30,779 (289)
Some of the next articles are maybe not open access.

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
Hanen Ameur, Salma Jamoussi
openaire   +1 more source

CSR & Sentiment Analysis: A New Customized Dictionary

2023
Communication 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
openaire   +2 more sources

Sentiment Analysis of Korean Teenagers’ Language Based on Sentiment Dictionary Construction

2019
This 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
openaire   +1 more source

Sentiment Value Propagation for an Integral Sentiment Dictionary Based on Commonsense Knowledge

2011 International Conference on Technologies and Applications of Artificial Intelligence, 2011
With 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
openaire   +1 more source

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   +3 more
openaire   +1 more source

Sentiment Analysis of Film Review Texts Based on Sentiment Dictionary and SVM

Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence, 2019
The 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
openaire   +1 more source

Sentiment Dictionary Refinement Using Word Embeddings

2015
Previous 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).
openaire   +1 more source

Dictionary-based sentiment analysis with crowdcoding

2015
Negativity 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
openaire   +1 more source

Non-English Sentiment Dictionary Construction

Advanced Science Letters, 2018
Khalifa Chekima, Rayner Alfred
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Home - About - Disclaimer - Privacy