Performance comparison of tf-idf and word2vec models for emotion text classification
DE Cahyani, I Patasik - Bulletin of Electrical Engineering and Informatics, 2021 - beei.org
Emotion is the human feeling when communicating with other humans or reaction to
everyday events. Emotion classification is needed to recognize human emotions from text …
everyday events. Emotion classification is needed to recognize human emotions from text …
[PDF][PDF] Performance analysis of sentiments in Twitter dataset using SVM models
Sentiment analysis is a current research topic by many researches using supervised and
machine learning algorithms. The analysis can be done on movie reviews, twitter reviews …
machine learning algorithms. The analysis can be done on movie reviews, twitter reviews …
Feature selection using new version of v-shaped transfer function for salp swarm algorithm in sentiment analysis
(1) Background: Feature selection is the biggest challenge in feature-rich sentiment analysis
to select the best (relevant) feature set, offer information about the relationships between …
to select the best (relevant) feature set, offer information about the relationships between …
Large scale data analysis using MLlib
AH Ali, MN Abbod, MK Khaleel… - Telkomnika …, 2021 - telkomnika.uad.ac.id
Recent advancements in the internet, social media, and internet of things (IoT) devices have
significantly increased the amount of data generated in a variety of formats. The data must …
significantly increased the amount of data generated in a variety of formats. The data must …
Big data visualization for in-situ data exploration for sportsperson
W Li, C Karthik, M Rajalakshmi - Computers and Electrical Engineering, 2022 - Elsevier
An extraordinary promise is offered in wellness by the fast expansion in the Internet of
Things (IoT). The current influence is on life efficiency and the dependability of health …
Things (IoT). The current influence is on life efficiency and the dependability of health …
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 …
neutral, negative, or positive. Sentiment analysis can be done using lexicon-based or …
Human computer interaction system for teacher-student interaction model using machine learning
A Zhang - International Journal of Human–Computer Interaction, 2022 - Taylor & Francis
Designing the teacher-student interaction model in online education is a significant research
domain since it can assist teachers in preventing students from discontinuing their studies …
domain since it can assist teachers in preventing students from discontinuing their studies …
[PDF][PDF] Reclust: An efficient clustering algorithm for mixed data based on reclustering and cluster validation
A Arockiam, ES Irudhayaraj - Indones. J. Electr. Eng. Comput. Sci, 2023 - academia.edu
Clustering is a significant approach in data mining, which seeks to find groups or clusters of
data. Both numeric and categorical features are frequently used to define the data in real …
data. Both numeric and categorical features are frequently used to define the data in real …
Optimasi Parameter Support Vector Machine Dengan Algoritma Genetika Untuk Analisis Sentimen Pada Media Sosial Instagram
IPDW Darmawan, GA Pradnyana… - SINTECH (Science …, 2023 - ejournal.instiki.ac.id
Media sosial adalah sebuah media online yang digunakan penggunanya untuk saling
berinteraksi dengan mengekspresikan diri dengan cara memberikan komentar, salah satu …
berinteraksi dengan mengekspresikan diri dengan cara memberikan komentar, salah satu …
Quest_SA: Preprocessing Method for Closed‐Ended Questionnaires Using Sentiment Analysis through Polarity
A Jayanthi M, E Shanthi - Mobile Information Systems, 2022 - Wiley Online Library
Sentiment analysis is a prominent research topic in natural language processing, with
applications in politics, news, education, product review, and other sectors. Especially in the …
applications in politics, news, education, product review, and other sectors. Especially in the …