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Sentiment analysis using Support Vector Machine

https://doi.org/10.1109/i4ct.2014.6914200
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/asi.21462openalex-snapshot
Sentiment in Twitter events
inferredcites →https://doi.org/10.1007/978-981-19-2350-0_43openalex-snapshot
Sentiment Analysis on Twitter Data
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1007/bfb0026683openalex-snapshot
Text categorization with Support Vector Machines: Learning with many relevant features
inferredcites →https://doi.org/10.1016/j.csl.2013.03.001openalex-snapshot
SAMAR: Subjectivity and sentiment analysis for Arabic social media
inferredcites →https://doi.org/10.1016/j.eswa.2009.02.063openalex-snapshot
A survey on sentiment detection of reviews
inferredcites →https://doi.org/10.1016/j.eswa.2011.05.070openalex-snapshot
Experiments with SVM to classify opinions in different domains
inferredcites →https://doi.org/10.1016/j.eswa.2013.01.019openalex-snapshot
More than words: Social networks’ text mining for consumer brand sentiments
inferredcites →https://doi.org/10.1016/j.ins.2008.06.001openalex-snapshot
Subspace based feature selection for pattern recognition
inferredcites →https://doi.org/10.1016/j.ipm.2013.08.006openalex-snapshot
The impact of preprocessing on text classification
inferredcites →https://doi.org/10.1016/j.knosys.2012.06.005openalex-snapshot
A novel probabilistic feature selection method for text classification
inferredcites →https://doi.org/10.1016/j.procs.2013.05.005openalex-snapshot
The Role of Text Pre-processing in Sentiment Analysis
inferredcites →https://doi.org/10.1016/j.protcy.2012.02.104openalex-snapshot
Comparing text classifiers for sports news
inferredcites →https://doi.org/10.1145/1361684.1361685openalex-snapshot
Sentiment analysis in multiple languages
inferredcites →https://doi.org/10.1145/2436256.2436274openalex-snapshot
Techniques and applications for sentiment analysis
inferredcites →https://doi.org/10.1145/2494444.2494451openalex-snapshot
Comparison of data mining techniques and tools for data classification
inferredcites →https://doi.org/10.1145/505282.505283openalex-snapshot
Machine learning in automated text categorization
inferredcites →https://doi.org/10.1201/9781003284543-3openalex-snapshot
Feature Selection Methods and Algorithms
inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot
Thumbs up?
inferredcites →https://doi.org/10.3115/1218955.1218990openalex-snapshot
A sentimental education
inferredcites →https://doi.org/10.63317/3s4canj79hxaopenalex-snapshot
Methods for Creating Semantic Orientation Dictionaries

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Sentiment Analysis of People During Lockdown Period of COVID-19 Using SVM and Logistic Regression Analysis
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Multimodal sentimental analysis for social media applications: A comprehensive review
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Emotional Evaluation of Open-Ended Responses with Transformer Models
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Twitter Sentiment Analysis: A Case of Study from Yachay Tech University
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Classification of Short Text Using Various Preprocessing Techniques: An Empirical Evaluation
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Most Persistent Feature Selection Method for Opinion Mining of Social Media Reviews
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A Novel Feature Selection Method Based on Genetic Algorithm for Opinion Mining of Social Media Reviews
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Performance Evaluation of Learners for Analyzing the Hotel Customer Sentiments Based on Text Reviews
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Sentiment Analysis Techniques for Social Media Data: A Review
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inferred← citeshttps://doi.org/10.1007/978-981-16-7330-6_68openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-16-8892-8_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-19-9225-4_19openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-3860-4_30openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-0047-3_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-8476-3_15openalex-snapshot
Sentiment Analysis of Product Reviews Using Deep Learning and Transformer Models: A Comparative Study
inferred← citeshttps://doi.org/10.1007/s10462-023-10442-2openalex-snapshot
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Hybrid sentiment classification on twitter aspect-based sentiment analysis
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Which words are important?: an empirical study of Assamese sentiment analysis
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A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets
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RETRACTED ARTICLE: Systematic approach for fake news detection using machine learning
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Sentiment analysis using deep learning approaches: an overview
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Review rating prediction framework using deep learning
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An efficient sentiment analysis methodology based on long short-term memory networks
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Normalized category travel personality by considering explicit and implicit feedback (NCTP): approach for improving travel recommender systems search result
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Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia–Ukraine War
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Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution
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Implementation of Machine Learning Algorithms in Arabic Sentiment Analysis Using N-Gram Features
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The use of sentiment and emotion analysis and data science to assess the language of nutrition-, food- and cooking-related content on social media: a systematic scoping review
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A. Amalgamative sentiment analysis framework on social networking site
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Comparison Performance of Naive Bayes Classifier and Support Vector Machine Algorithm for Twitter’s Classification of Tokopedia Services
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COVID-19 and Black Fungus: Analysis of the Public Perceptions through Machine Learning
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A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier
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Project Management Ticket Category Classification Using Machine Learning Method: A Comparative Study
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Sentiment polarity detection in bengali tweets using multinomial Naïve Bayes and support vector machines
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Sentiment Identification for Collaborative, Geographically Dispersed, Cross-Functional Software Development Teams
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Sentiment classification of social media reviews using an ensemble classifier
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Multilingual depression screening via social media: comparative analysis of machine learning models on English and Arabic text
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A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
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Sentiment Analysis Provider By.U on Google Play Store Reviews with TF-IDF and Support Vector Machine (SVM) Method
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Polarity Classification of Social Media Feeds Using Incremental Learning — A Deep Learning Approach
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Survey: Sentiment Analysis of Twitter Data for Stock Market Prediction
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A Near Real-Time Approach for Sentiment Analysis Approach Using Arabic Tweets
inferred← citeshttps://doi.org/10.18280/isi.290205openalex-snapshot
Sentiment Analysis: Classifying Public Comments on YouTube in Disaster Management Simulation in Indonesia Using Naïve Bayes and Support Vector Machine
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3536120/v1openalex-snapshot
Trends in Natural Language Understanding with sentence representation and sentiment analysis
inferred← citeshttps://doi.org/10.22214/ijraset.2020.5089openalex-snapshot
Survey Paper on Algorithms used for Sentiment Analysis
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Analisis Sentimen Konten Radikal dalam Kontestasi Politik 2019 di Media Twitter Menggunakan Interjection dan Punctuation
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A survey on sentiment classification algorithms, challenges and applications
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Ensemble Dynamic Machine Learning Algorithm (EDMLA) for E-commerce sentiment product recommendation system with the integration of AACSD-an empirical study
inferred← citeshttps://doi.org/10.2991/ijcis.d.210114.001openalex-snapshot
Research on Customer Satisfaction Based on Multidimensional Analysis
inferred← citeshttps://doi.org/10.30534/ijatcse/2020/111932020openalex-snapshot
A Hybrid Deep Learning Approach for Sentiment Analysis using CNN and Improved SVM with Multi Objective Swarm Optimization for Domain Independent Datasets
inferred← citeshttps://doi.org/10.30865/mib.v5i2.2844openalex-snapshot
Analisis Sentimen Terhadap Review Film Menggunakan Metode Modified Balanced Random Forest dan Mutual Information
inferred← citeshttps://doi.org/10.31234/osf.io/bqnmkopenalex-snapshot
Can an algorithm tell how spiritual you are? Measuring spirituality from text using Generative Pre-trained Transformers
inferred← citeshttps://doi.org/10.31294/evolusi.v8i2.9248openalex-snapshot
OPTIMASI PARAMETER PSO BERBASIS SVM UNTUK ANALISIS SENTIMEN REVIEW JASA MASKAPAI PENERBANGAN BERBAHASA INGGRIS
inferred← citeshttps://doi.org/10.31294/p.v22i1.6869openalex-snapshot
Analisis Sentimen Data Twitter Mengenai Isu RUU KPK Dengan Metode Support Vector Machine (SVM)
inferred← citeshttps://doi.org/10.31436/iiumej.v22i1.1532openalex-snapshot
THE IMPLEMENTATION OF THE MACHINE LEARNING ALGORITHM FOR THE SENTIMENT ANALYSIS OF INDONESIA’S 2019 PRESIDENTIAL ELECTION
inferred← citeshttps://doi.org/10.31449/inf.v46i6.3991openalex-snapshot
A Review and Comparative Analysis of Sentiment Analysis Techniques
inferred← citeshttps://doi.org/10.31703/gssr.2019(iv-iv).19openalex-snapshot
The Classification of Customers’ Sentiment using Data Mining Approaches
inferred← citeshttps://doi.org/10.3233/jifs-201644openalex-snapshot
Adaptive particle swarm optimization algorithm based long short-term memory networks for sentiment analysis
inferred← citeshttps://doi.org/10.32604/cmes.2022.019535openalex-snapshot
Sentiment Analysis of Roman Urdu on E-Commerce Reviews Using Machine Learning
inferred← citeshttps://doi.org/10.32985/ijeces.13.9.7openalex-snapshot
Decision Support Machine- A Hybrid Model for Sentiment Analysis of News Headlines of Stock Market
inferred← citeshttps://doi.org/10.33411/ijist/2022040204openalex-snapshot
Sentiment Classification Using Multinomial Logistic Regression on Roman Urdu Text
inferred← citeshttps://doi.org/10.33633/joins.v5i1.3275openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app11188438openalex-snapshot
Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19
inferred← citeshttps://doi.org/10.3390/info14040201openalex-snapshot
Applications of Text Mining in the Transportation Infrastructure Sector: A Review
inferred← citeshttps://doi.org/10.3390/su13116150openalex-snapshot
A Content and Sentiment Analysis of Greek Tweets during the Pandemic
inferred← citeshttps://doi.org/10.35429/h.2023.8.1.161openalex-snapshot
CIERMMI Women in Science Engineering Sciences and Applications
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Machine learning for sentiment analysis in social networks data: Advances and perspectives
inferred← citeshttps://doi.org/10.35457/antivirus.v15i1.1539openalex-snapshot
SVM UNTUK SENTIMENT ANALYSIS CALON KEPALA DAERAH BERDASAR DATA KOMENTAR VIDEO DEBAT PILKADA DI YOUTUBE
inferred← citeshttps://doi.org/10.35940/ijeat.c6086.029320openalex-snapshot
Classification of Sentiment on Business Data for Decision Making using Supervised Machine Learning Methods
inferred← citeshttps://doi.org/10.35940/ijeat.d8483.049420openalex-snapshot
Hand Kinesics in Indian Sign Language using NLP Techniques with SVM Based Polarity
inferred← citeshttps://doi.org/10.36713/epra10424openalex-snapshot
SENTIMENT ANALYSIS OF PEOPLE DURING COVID- 19 USING SVM AND LOGISTIC REGRESSION ANALYSIS
inferred← citeshttps://doi.org/10.37380/jisib.v10i2openalex-snapshot
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Atman: Intelligent information gap detection for learning organizations: First steps toward computational collective intelligence for decision making
inferred← citeshttps://doi.org/10.38124/ijisrt/ijisrt24mar1607openalex-snapshot
SENTI Aid: Sentiment Analysis on Personal Relations and Aiding Mental Health
inferred← citeshttps://doi.org/10.4018/ijdai.309743openalex-snapshot
Sentiment Analysis-Based Categorized Opinions Expressed in Feedback Forums Using Deep Learning Technique and Message Queue Architecture
inferred← citeshttps://doi.org/10.4314/jfas.8vi2s.141openalex-snapshot
Improvement of recommender systems considering big data of users’ comments on chosen items
inferred← citeshttps://doi.org/10.5120/ijca2017912802openalex-snapshot
Polarity Shift Handling Techniques: A Survey
inferred← citeshttps://doi.org/10.5120/ijca2017914690openalex-snapshot
A Study using Support Vector Machines to Classify the Sentiments of Tweets
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Deep discourse analysis for early prediction of multi-type dementia
inferred← citeshttps://doi.org/10.52547/jme.15.3.235openalex-snapshot
Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data
inferred← citeshttps://doi.org/10.5281/zenodo.21595219openalex-snapshot
A Survey On Subjective Sentiment Analysis From Twitter Corpus
inferred← citeshttps://doi.org/10.52851/cakrawala.v6i1.219openalex-snapshot
Sentiment Analysis Of E-Commerce Product Reviews For Content Interaction Using Machine Learning
inferred← citeshttps://doi.org/10.55003/cast.2022.02.23.008openalex-snapshot
A Hybrid Approach for Aspect-based Sentiment Analysis: A Case Study of Hotel Reviews
inferred← citeshttps://doi.org/10.55041/ijsrem12601openalex-snapshot
Stock Prediction Application using Machine Learning
inferred← citeshttps://doi.org/10.55324/josr.v2i4.702openalex-snapshot
Sentiment Analysis of Related Public Opinion Smart City Pasuruan Regency on Media Social Using Svm Algorithm
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Web-Based Student Opinion Mining SystemUsing Sentiment Analysis
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Review Length Aware Hybrid Approach to Sentiment Analysis
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