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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, Sébastien Fournier   +1 more
doaj   +3 more sources

Basic tasks of sentiment analysis [PDF]

, 2017
Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment.
DM Blei, E Cambria, E Cambria, E Cambria, E Cambria, E Cambria, G Murray, G Qiu, GE Hinton, GW Taylor, H Tang, I Chaturvedi, L Oneto, R Collobert, R Ortega, S Branavan, S Poria, S Rill, T Wang, X Ding, Y Hu   +20 more
core   +4 more sources

A multi-label text sentiment analysis model based on sentiment correlation modeling [PDF]

Frontiers in Psychology
ObjectiveThis study proposes an emotion correlation-enhanced sentiment analysis model (ECO-SAM), a sentiment correlation modeling-based multi-label sentiment analysis model.MethodsThe ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic ...
Yingying Ni, Wei Ni
doaj   +2 more sources

TWITTER SENTIMENT ANALYSIS [PDF]

i-manager's Journal on Computer Science, 2021
In this report, address the problem of sentiment classification on twitter dataset. used a number of machine learning and deep learning methods to perform sentiment analysis. In the end, used a majority vote ensemble method with 5 of our best models to achieve the classification accuracy of 83.58% on kaggle public leaderboard.
  +7 more sources

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

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   +2 more sources

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., Anvesh Pavuluri, Sharath Singh Chiranji, Ruthvik Reddy Kommula, Kumar Shah Praveen, Siva Shankar S.   +5 more
doaj   +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, Duha Al-Darras, Esra Alzaghoul, Osama Harfoushi   +3 more
doaj   +1 more source

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

Sensors, 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, Kurban Ubul, Xuebin Xu, Alimjan Aysa, Mahpirat Muhammat   +4 more
doaj   +1 more source