Results 81 to 90 of about 1,045,517 (260)

General Purpose Textual Sentiment Analysis and Emotion Detection Tools [PDF]

, 2013
Textual sentiment analysis and emotion detection consists in retrieving the sentiment or emotion carried by a text or document. This task can be useful in many domains: opinion mining, prediction, feedbacks, etc.
Bellalem, Nadia, Cruz-Lara, Samuel, Denis, Alexandre   +2 more
core   +2 more sources

A Collaborative System for Sentiment Analysis [PDF]

, 2010
In the past we have witnessed our machine learning method for sentiment analysis coping well with figurative language, but determining with uncertainty the polarity of mildly figurative cases We have shown that for these uncertain cases, a rule-based system should be consulted We evaluate this collaborative approach on the ”Rotten Tomatoes” movie ...
Rentoumi, V, Petrakis, S, Karkaletsis, V, Klenner, M, Vouros, G A   +4 more
openaire   +4 more sources

An Experimental Analysis of Investor Sentiment

, 2022
DR LEO - Working Paper 2022 ...
Boulu-Reshef, Béatrice, BRUNEAU, Catherine, NICOLAS, Maxime, RENAULT, Thomas   +3 more
openaire   +2 more sources

Enhance the Power of Sentiment Analysis

World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 2014
{"references": ["IBM. IBM Research - Tokyo / Text Mining. Available from: http://www.trl.ibm.com/projects/textmining/takmi/sentiment_analysis_e.htm.", "Alec Go, R.B., Lei Huang, Twitter Sentiment Classification Using Distant Surpervision. 2009, Stanford University.", "twitrratr.
Yu Zhang, Pedro Desouza
openaire   +4 more sources

SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification [PDF]

arXiv, 2016
Sentiment in social media is increasingly considered as an important resource for customer segmentation, market understanding, and tackling other socio-economic issues. However, sentiment in social media is difficult to measure since user-generated content is usually short and informal.
arxiv  

Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon [PDF]

arXiv, 2020
Sentiment lexicons are instrumental for sentiment analysis. One can use a set of sentiment words provided in a sentiment lexicon and a lexicon-based classifier to perform sentiment classification. One major issue with this approach is that many sentiment words are domain dependent.
arxiv  

Review on Key Techniques of Video Multimodal Sentiment Analysis [PDF]

Jisuanji kexue yu tansuo
Sentiment analysis is the process of automatically determining an opinion holder􀆳s attitude or emotional tendency. It is widely used in business, social media analysis, and public opinion monitoring.
DUAN Zongtao, HUANG Junchen, ZHU Xiaole
doaj   +1 more source

Discovering New Sentiments from the Social Web [PDF]

, 2014
A persistent challenge in Complex Systems (CS) research is the phenomenological reconstruction of systems from raw data. In order to face the problem, the use of sound features to reason on the system from data processing is a key step.
Borrego-Díaz, Joaquín, Galan-Paez, Juan   +1 more
core   +1 more source

Causal Intervention Improves Implicit Sentiment Analysis [PDF]

arXiv, 2022
Despite having achieved great success for sentiment analysis, existing neural models struggle with implicit sentiment analysis. This may be due to the fact that they may latch onto spurious correlations ("shortcuts", e.g., focusing only on explicit sentiment words), resulting in undermining the effectiveness and robustness of the learned model. In this
arxiv  

Sentiment Identification in Code-Mixed Social Media Text [PDF]

arXiv, 2017
Sentiment analysis is the Natural Language Processing (NLP) task dealing with the detection and classification of sentiments in texts. While some tasks deal with identifying the presence of sentiment in the text (Subjectivity analysis), other tasks aim at determining the polarity of the text categorizing them as positive, negative and neutral. Whenever
arxiv