[HTML][HTML] Natural language processing of social network data for the evaluation of agricultural and rural policies

AG Domínguez, N Roig-Tierno… - Journal of Rural …, 2024 - Elsevier
Global sustainable development challenges affect the agricultural sector, and many
innovations aimed at addressing these challenges have been introduced in the agri-food …

Social Network Sentiment Analysis Using Hybrid Deep Learning Models

N Merayo, J Vegas, C Llamas, P Fernández - Applied Sciences, 2023 - mdpi.com
Featured Application The system presented in this study was aimed at business,
organisation, government, and consumer areas, whereas a real-time application is needed …

Enhance sentiment analysis in big data tourism using hybrid lexicon and active learning support vector machine

NWS Saraswati, IKGD Putra, M Sudarma… - Bulletin of Electrical …, 2024 - beei.org
Sentiment analysis is a review analysis process used to determine whether an opinion is
neutral, negative, or positive. Sentiment analysis can be done using lexicon-based or …

Sentiment analysis of student feedback: A comparative study employing lexicon and machine learning techniques

C Dervenis, G Kanakis, P Fitsilis - Studies in Educational Evaluation, 2024 - Elsevier
One of the most pressing concerns in contemporary education examines the integration of
big data and artificial intelligence methodologies to enhance the educational learning …

Assessing Accuracy: A Study of Lexicon and Rule-Based Packages in R and Python for Sentiment Analysis

A Mahmoudi, D Jemielniak, L Ciechanowski - IEEE Access, 2024 - ieeexplore.ieee.org
Sentiment analysis has become a focal point of interdisciplinary research, prompting the use
of diverse methodologies and the continual emergence of programming language …

[HTML][HTML] Lexicon and Deep Learning-Based Approaches in Sentiment Analysis on Short Texts

T Islam, MA Sheakh, MR Sadik, MS Tahosin… - Journal of Computer and …, 2024 - scirp.org
Social media is an essential component of our personal and professional lives. We use it
extensively to share various things, including our opinions on daily topics and feelings about …

Machine learning and natural language processing to assess the emotional impact of influencers' mental health content on Instagram

N Merayo, A Ayuso-Lanchares… - PeerJ Computer …, 2024 - peerj.com
Background This study aims to examine, through artificial intelligence, specifically machine
learning, the emotional impact generated by disclosures about mental health on social …

Detecting trending products through moving average and sentiment analysis

N Darraz, I Karabila, A El-Ansari, N Alami… - Multimedia Tools and …, 2024 - Springer
Trend detection is the process of identifying patterns in data over time. It is used to identify
trends in various fields, such as business, finance, marketing, healthcare, and others. For …

Investigating ChatGPT on Reddit by Using Lexicon-Based Sentiment Analysis

PS Putra, AH Lubis, R Muliono… - 2024 International …, 2024 - ieeexplore.ieee.org
ChatGPT is one of the most favorable AI-driven applications, gaining widespread popularity
and usage among users. Despite it provides numerous advantages, ChatGPT also …

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 …