Results 71 to 80 of about 51,938 (169)

Exploiting emoticons in sentiment analysis

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
As people increasingly use emoticons in text in order to express, stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to correctly account for such graphical cues for sentiment. We analyze how emoticons typically convey sentiment and demonstrate how we can exploit this by using a novel, manually created ...
Alexander Hogenboom, Daniella Bal, Flavius Frasincar, Malissa Bal, Franciska de Jong, Uzay Kaymak   +5 more
openaire   +3 more sources

A MODIFIED APPROACH OF ANALYSING FEATURE EXTRACTION FROM PATIENT SENTIMENTS USING WORD EMBEDDING AND VECTOR REPRESENTATION [PDF]

ICTACT Journal on Soft Computing
Sentiment analysis has been increasingly popular in the present digital era which attempts to analyse the consumer reviews acquired from websites, blogs and social media platforms.
S. Punithavathy, J.M. Dhayashankar
doaj   +1 more source

Sentiment analysis in sign language

Signal, Image and Video Processing
Abstract In sign languages, communication relies on hand gestures, facial expressions, and body language, with signs varying significantly based on the position and movement of different body parts. These variations present challenges to tasks like sentiment analysis, where the direct translation of hand gestures alone is insufficient.
Seyma Takir, Baris Bilen, Dogukan Arslan
openaire   +1 more source

Hybrid Deep Neural Network with Domain Knowledge for Text Sentiment Analysis

Mathematics
Sentiment analysis (SA) analyzes online data to uncover insights for better decision-making. Conventional text SA techniques are effective and easy to understand but encounter difficulties when handling sparse data.
Jawad Khan, Niaz Ahmad, Youngmoon Lee, Shah Khalid, Dildar Hussain   +4 more
doaj   +1 more source

A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM

Scientific Reports
Sentiment analysis is an essential task in natural language processing that involves identifying a text’s polarity, whether it expresses positive, negative, or neutral sentiments.
Md Saef Ullah Miah, Md Mohsin Kabir, Talha Bin Sarwar, Mejdl Safran, Sultan Alfarhood, M. F. Mridha   +5 more
doaj   +1 more source

Sentiment analysis methods, applications, and challenges: A systematic literature review

Journal of King Saud University: Computer and Information Sciences
With the expansion of Internet-based applications, the number of comments shows explosive growth. Analyzing the attitudes and emotions behind comments provides powerful assistance for businesses, governments, and scholars.
Yanying Mao, Qun Liu, Yu Zhang
doaj   +1 more source

Sentiment Analysis: Mining Opinions, Sentiments, and Emotions [PDF]

Computational Linguistics, 2016
Jun Zhao, Kang Liu, Liheng Xu
openaire   +2 more sources

Public Perceptions of Ankyloglossia on Reddit: A Cross-Sectional Thematic and Sentiment Analysis. [PDF]

Laryngoscope Investig Otolaryngol
Marciniak M, Nguyen MD, Setzen SA, Holland KL, Shah A, Albers A, Bhayani MK, Patel KR, Karas AF.   +8 more
europepmc   +1 more source

A cannabis use Reddit dataset for aspect-based sentiment analysis. [PDF]

Data Brief
Park T, Lakamana S, Alagappan A, Diop Chalmers C, Gursel E, Guo Y, Falasinnu T, Sarker A, Bozkurt S.   +8 more
europepmc   +1 more source

Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT. [PDF]

PLoS One
Zhang R, Ullah A, Khan KU, Khan MN, Chohan RT, Aadil F.   +5 more
europepmc   +1 more source