Results 1 to 10 of about 554,719 (285)

Fine-grained Sentiment Analysis Based on Combination of Attention and Gated Mechanism [PDF]

open access: yesJisuanji 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

Feasible Sentiment Analysis of Real Time Twitter Data [PDF]

open access: yesE3S 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

Sentiment Analysis with 'syuzhet' using R

open access: yesThe 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

open access: yesIEEE 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

open access: yesMathematics, 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
doaj   +1 more source

Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification

open access: yesSensors, 2022
As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis.
Meikang Chen   +4 more
doaj   +1 more source

Sentiment Analysis using Optimized Feature Sets in Different Facebook/Twitter Dataset Domains using Big Data

open access: yesIraqi Journal for Computer Science and Mathematics, 2022
 Now days, in many real life applications, the sentiment analysis plays very vital role for automatic prediction of human being activities especially on online social networks (OSNs).  Therefore since from last decade, the research on opinion mining and
Mohammed Ibrahim Al-mashhadani   +3 more
doaj   +1 more source

A Comprehensive Survey on Sentiment Analysis Techniques

open access: yesInternational Journal of Technology, 2023
Sentiment analysis is a natural language processing (NLP) technique used to decide if the underlying sentiment is positive, negative, or neutral. Subjective information from the text can be extracted using sentiment analysis by recognizing its context
Farhan Aftab   +6 more
doaj   +1 more source

HMTL: Heterogeneous Modality Transfer Learning for Audio-Visual Sentiment Analysis

open access: yesIEEE Access, 2020
Multimodal sentiment analysis is an extended approach to traditional language-based sentiment analysis, which uses other relevant modality data. Multimodal sentiment analysis usually applies visual, textual, and acoustic representations for sentiment ...
Sanghyun Seo, Sanghyuck Na, Juntae Kim
doaj   +1 more source

Sentiment Analysis With Sarcasm Detection On Politician’s Instagram

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021
Sarcasm is one of the problem that affect the result of sentiment analysis. According to Maynard and Greenwood (2014), performance of sentiment analysis can be improved when sarcasm also identified. Some research used Naïve Bayes and Random Forest method
Aisyah Muhaddisi   +2 more
doaj   +1 more source

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