Machine Learning Approach for Negation Handling in Sentiment Analysis

AM Helmy, N Ali, A Atef… - … Conference on Intelligent …, 2023 - ieeexplore.ieee.org
With the growing popularity of online shopping, product reviews have emerged as significant
source of product information. Sentiment analysis was developed as a result of the growing …

A parallel semantic sentiment analysis

M Youness, E Mohammed… - 2017 3rd international …, 2017 - ieeexplore.ieee.org
The analysis of feelings (sentiment analysis or opinion mining) is the process of studying
peoples opinion, emotion and how to consider an issue and make a decision into different …

Sentiment Classification of Tweets with Explicit Word Negations and Emoji Using Deep Learning

MU Ijairi, M Abdullahi, IH Hassan - International Journal of …, 2023 - journal.ump.edu.my
The widespread use of social media platforms such as Twitter, Instagram, Facebook, and
LinkedIn have had a huge impact on daily human interactions and decision-making. Owing …

[图书][B] Examining production, dissemination, and consumption of misinformation: The case of COVID-19 pandemic

Y Han - 2021 - search.proquest.com
Nowadays, social media is a crucial part of our lives. Platforms like Facebook and Twitter
play indispensable roles in the modern information ecosystem, impacting many areas of …

The influence of NegEx on ICD-10 code prediction in Swedish: how is the performance of BERT and SVM models affected by negations?

A Budrionis, T Chomutare, TO Svenning… - … Conference on Health …, 2022 - ecp.ep.liu.se
Clinical text contains many negated concepts since the physician excludes irrelevant
symptoms when reasoning and concluding about the diagnosis. This study investigates the …

Negation processing in spanish and its application to sentiment analysis

S JIMÉNEZ ZAFRA - 2019 - ruja.ujaen.es
El Procesamiento del Lenguaje Natural es el área de la Inteligencia Artificial que tiene como
objetivo desarrollar mecanismos computacionalmente eficientes para facilitar la …

Emotions recognition in synchronic textual CSCL situations

G Lescano, R Costaguta… - International Journal of …, 2022 - inderscienceonline.com
Computer-supported collaborative learning (CSCL) is a useful practice to teach learners
working in groups and to acquire collaborative skills. To evaluate the collaborative process …

[PDF][PDF] Enhanced negation handling for sentiment analysis on Twitter using deep neural networks

SKBN Mamatha Mylarappa, TJ Gowda… - Indonesian Journal of …, 2023 - academia.edu
Sentiment analysis is a tool to identify and measure the emotion in a piece of text. Negation
handling is an important aspect of natural language processing (NLP) for Twitter data. It is a …

Negation Handling and Domain Generalization in Sentiment Analysis using Machine Learning Models

S Biradar, GT Raju, KM Divakar - … International Conference on …, 2024 - ieeexplore.ieee.org
Conventional lexicon-based approaches to sentiment analysis typically lack the necessary
methods to properly identify the negation window, making it impossible to model negation …

Improving Sentiment Analysis by Handling Negation on Twitter Data Using Deep Learning Approaches

M Mamatha, BNS Kumar, J Thriveni… - … Conference on Data …, 2024 - Springer
Sentiment Analysis serves as a tool for identifying and quantifying the emotion conveyed in
text. Within natural language processing (NLP), effective negation handling is crucial …