Climate change sentiment analysis using lexicon, machine learning and hybrid approaches

NM Sham, A Mohamed - Sustainability, 2022 - search.proquest.com
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …

Climate change sentiment analysis using lexicon, machine learning and hybrid approaches

N Mohamad Sham, A Mohamed - Sustainability, 2022 - mdpi.com
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …

[PDF][PDF] Lexdeep: Hybrid lexicon and deep learning sentiment analysis using Twitter for unemployment-related discussions during covid-19

A Mohamed, ZM Zain, H Shaiba… - … Materials & Continua, 2023 - cdn.techscience.cn
The COVID-19 pandemic has spread globally, resulting in financial instability in many
countries and reductions in the per capita gross domestic product. Sentiment analysis is a …

Sentiment Analysis Optimization Using Vader Lexicon on Machine Learning Approach

D Marutho, S Rustad - 2022 international Seminar on …, 2022 - ieeexplore.ieee.org
The current increase in global internet users, equivalent to 59.5 percent of the world's
population, affects active internet users globally. Almost some users have expressed their …

Evaluating automatic annotation of lexicon-based models for stance detection of M-pox tweets from May 1st to Sep 5th, 2022

N Perikli, S Bhattacharya, B Ogbuokiri… - PLOS Digital …, 2024 - journals.plos.org
Manually labeling data for supervised learning is time and energy consuming; therefore,
lexicon-based models such as VADER and TextBlob are used to automatically label data …

Sentiment analysis of weather news in British online newspapers

N Bondarchuk, N Hrytsiv, I Bekhta… - Amazonia …, 2023 - amazoniainvestiga.info
The advancement of modern technologies has influenced the way news is presented and
consumed, particularly online. Weather is an important topic for the public as it relates to the …

Enhancing churn forecasting with sentiment analysis of steam reviews

S Abdul-Rahman, MFAM Ali, AA Bakar… - Social Network Analysis …, 2024 - Springer
Customer churn prediction is crucial for businesses seeking to retain their customer base. In
this study, we present an enhanced approach for churn forecasting by integrating sentiment …

Hate Speech in the Arab Electronic Press and Social Networks.

W Awane, EHB Lahmar… - Revue d'Intelligence …, 2021 - search.ebscohost.com
Nowadays we are witnessing an open world, characterized by globalization which is
accompanied by a technology through which information circulates without borders …

A Named Entity Recognition Method Enhanced with Lexicon Information and Text Local Feature

Y Ma, H Liu, D Zhang, C Gao, Y Liu - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak At present, Named Entity Recognition (NER) is one of the fundamental tasks for
extracting knowledge from traditional Chinese medicine (TCM) texts. The variability of the …

Role of machine learning in sentiment analysis: trends, challenges, and future directions

S Shedthi, V Shetty - … Intelligence Methods for Sentiment Analysis in …, 2024 - Elsevier
Sentiment analysis (SA) using natural language is one of the most exciting topics in this
decade due to the widespread use of social media, which helps analyze interactions …