Results 71 to 80 of about 448,200 (183)

ChronoNLP: Exploration and Analysis of Chronological Textual Corpora

Code4Lib Journal, 2023
This article introduces ChronoNLP, a free and open-source web application designed to enable the application of Natural Language Processing (NLP) techniques to textual datasets with a time-based component. This interactive Python platform allows users to
Erin Wolfe
doaj  

Enhancing Arabic aspect category detection using large language models (LLMs)

Results in Engineering
Large language models (LLMs) have revolutionized the world of natural language processing (NLP) by breaking through a variety of tasks, such as text generation, translation, and text summarization. In this study, we tackle aspect-based sentiment analysis
Lachhab Youssef, Ziyati Elhoussaine, Naim Soufiane, Moumkine Noureddine   +3 more
doaj   +1 more source

An Unsupervised Hierarchical Rule Based Model for Aspect Term Extraction Augmented with Pruning Strategies

, 2020
Sentiment Analysis is an interesting field in text analytics which has emerged from an individual’s curiosity to know what others think or feel about an entity or experience and hence take a decision.
Manju Venugopalan, Deepa Gupta
semanticscholar   +1 more source

HauBERT: A Transformer Model for Aspect-Based Sentiment Analysis of Hausa-Language Movie Reviews

Engineering Proceedings
In this study, we present a groundbreaking approach to aspect-based sentiment analysis (ABSA) using transformer-based models. ABSA is essential for understanding the intricate nuances of sentiment expressed in text, particularly across diverse linguistic
Aminu Musa, Fatima Muhammad Adam, Umar Ibrahim, Abubakar Yakubu Zandam   +3 more
doaj   +1 more source

A syntactic features and interactive learning model for aspect-based sentiment analysis

Complex & Intelligent Systems
The aspect-based sentiment analysis (ABSA) consists of two subtasks: aspect term extraction (AE) and aspect term sentiment classification (ASC). Previous research on the AE task has not adequately leveraged syntactic information and has overlooked the ...
Wang Zou, Wubo Zhang, Zhuofeng Tian, Wenhuan Wu   +3 more
doaj   +1 more source

SetFitQuad: A Few-Shot Framework for Aspect Sentiment Quad Prediction With Sampling Strategies

IEEE Access
Aspect Sentiment Quad Prediction (ASQP) aims to extract structured sentiment quadruples, comprising aspect category, aspect term, opinion expression, and sentiment polarity from text to enable fine-grained sentiment analysis.
Hsiu-Min Chuang, Jhe-Kuan Lin
doaj   +1 more source

Aspect-Based Sentiment Analysis for Service Industry

IEEE Access
In today’s digital age, customer feedback, particularly gathered from various sources like mobile application reviews, has emerged as a critical resource for service-providing organizations to gain valuable insights into their customers’ ...
Afsheen Maroof, Shaukat Wasi, Syed Imran Jami, Muhammad Shoaib Siddiqui   +3 more
doaj   +1 more source

TASKS AND METHODS OF TEXT SENTIMENT ANALYSIS

Scientific Journal of Astana IT University, 2021
The purpose of this article is to study one of the methods of social networks analysis – text sentiment analysis. Today, social media has become a big data base that social network analysis is used for various purposes – from setting up targeted ...
А. Mukasheva
doaj  

Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction

, 2016
IJCAI ...
Yin, Yichun, Wei, Furu, Dong, Li, Xu, Kaimeng, Zhang, Ming, Zhou, Ming   +5 more
openaire   +2 more sources

A Deep Convolutional Neural Network-Based Model for Aspect and Polarity Classification in Hausa Movie Reviews

Engineering Proceedings
Aspect-based sentiment analysis (ABSA) plays a pivotal role in understanding the nuances of sentiment expressed in text, particularly in the context of diverse languages and cultures.
Umar Ibrahim, Abubakar Yakubu Zandam, Fatima Muhammad Adam, Aminu Musa, Mohamed Hassan, Mohamed Hamada, Muhammad Shamsu Usman   +6 more
doaj   +1 more source