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Mobile sentiment analysis [PDF]
, 2012 Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and ...
Chambers, L. +3 more
core +3 more sources
Encyclopedia of Social Network Analysis and Mining, 2014 Recent advances in machine learning have led to computer systems that are human-like in behaviour. Sentiment analysis, the automatic determination of emotions in text, is allowing us to capitalize on substantial previously unattainable opportunities in commerce, public health, government policy, social sciences, and art.
Eva Hauthal +3 more
semanticscholar +5 more sources
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
Scientific ReportsSentiment 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 +5 more
doaj +2 more sources
Sentiment Analysis in the Era of Large Language Models: A Reality Check [PDF]
NAACL-HLT, 2023 Sentiment analysis (SA) has been a long-standing research area in natural language processing. It can offer rich insights into human sentiments and opinions and has thus seen considerable interest from both academia and industry. With the advent of large
Wenxuan Zhang +4 more
semanticscholar +1 more source
Feasible Sentiment Analysis of Real Time Twitter Data [PDF]
E3S Web of Conferences, 2023 Sentiment analysis plays a significant role in understanding public opinion, trends, and sentiments expressed on social media platforms. In this paper, we focus on performing sentiment analysis on real-time Twitter data to gain insights into the ...
Karuna G. +5 more
doaj +1 more source
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models [PDF]
International Conference on AI in Finance, 2023 Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their training datasets, which hampers their generalization capabilities and ...
Boyu Zhang +4 more
semanticscholar +1 more source
Fine-grained Sentiment Analysis Based on Combination of Attention and Gated Mechanism [PDF]
Jisuanji kexue, 2021 The fine-grained sentiment analysis is one of the key problems in the area of natural language processing.By learning contextual information of the text to conduct sentiment analysis on specific aspects,it can help users and businesses to better ...
ZHANG Jin, DUAN Li-guo, LI Ai-ping, HAO Xiao-yan
doaj +1 more source
Sentiment Analysis with 'syuzhet' using R
The Programming Historian, 2023 This lesson teaches you how to obtain and analyse narrative texts for patterns of sentiment and emotion.
Jennifer Isasi
doaj +1 more source
Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
IEEE Access, 2021 Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis.
Ruba Obiedat +3 more
doaj +1 more source
Sentiment Difficulty in Aspect-Based Sentiment Analysis
Mathematics, 2023 Subjectivity is a key aspect of natural language understanding, especially in the context of user-generated text and conversational systems based on large language models. Natural language sentences often contain subjective elements, such as opinions and
Adrian-Gabriel Chifu +1 more
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