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Sentiment analysis and classification based on textual reviews
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4757-3264-1openalex-snapshot
The Nature of Statistical Learning Theory
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inferredcites →https://doi.org/10.1109/icmlc.2005.1527604openalex-snapshot
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inferredcites →https://doi.org/10.1145/312624.312647openalex-snapshot
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inferredcites →https://doi.org/10.3115/1220575.1220619openalex-snapshot
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inferredcites →https://doi.org/10.3115/990820.990864openalex-snapshot
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inferredcites →https://doi.org/10.3844/jcssp.2012.1219.1224openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.cs/0212032openalex-snapshot
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
inferredcites →https://doi.org/10.5121/ijist.2012.2304openalex-snapshot
Text Sentiments for Forums Hotspot Detection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Textual Feedback Analysis: Review
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Applying Text Mining Techniques for Sentiment Analysis of Museum Visitor Reviews
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Survey on Sentiment Analysis of User Reviews
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The Influence of Negation Handling on Sentiment Analysis in Bahasa Indonesia
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Sentiment Analysis on Top Five Cloud Service Providers in the Market
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Opinion mining for Thai restaurant reviews using neural networks and mRMR feature selection
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Hybrid Machine Learning Approaches for Sentiment Classification in Film Review Texts
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Student opinion mining regarding educational system using facebook group
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Analyzing Moroccan Stock Market using Machine Learning and Sentiment Analysis
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SentiGCN: Graph Contrastive Learning for Recommendation Based on Sentiment Analysis
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A Framework for Real-time Sentiment Analysis of Big Data Generated by Social Media Platforms
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Automatic keyword selection for sentiment analysis using class dependency and dissimilarity
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Arabic Sentiment Analysis of Eateries’ Reviews: Qassim region Case study
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Teaching Senti-Lexicon for Automated Sentiment Polarity Definition in Teaching Evaluation
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inferred← citeshttps://doi.org/10.4018/978-1-7998-2460-2.ch036openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/978-1-7998-8413-2.ch001openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/979-8-3373-3063-1.ch011openalex-snapshot
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inferred← citeshttps://doi.org/10.5120/17001-7146openalex-snapshot
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inferred← citeshttps://doi.org/10.5120/21149-4130openalex-snapshot
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inferred← citeshttps://doi.org/10.5120/ijca2016909259openalex-snapshot
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inferred← citeshttps://doi.org/10.51983/ajcst-2019.8.s2.2027openalex-snapshot
Sentiment Analysis about Smart Phones Using Twitter Corpus by Deep Learning Approach
inferred← citeshttps://doi.org/10.53730/ijhs.v6ns5.9452openalex-snapshot
Opinion mining based on partial textual entailent
inferred← citeshttps://doi.org/10.54254/2755-2721/18/20230998openalex-snapshot
Personalized movie rating prediction based on the data of short video users and videos’ information
inferred← citeshttps://doi.org/10.54254/2755-2721/6/20230830openalex-snapshot
Sentimental analysis for clothing dataset
inferred← citeshttps://doi.org/10.54254/2755-2721/6/20230831openalex-snapshot
Sentiment analysis of Amazon product reviews
inferred← citeshttps://doi.org/10.5815/ijisa.2016.08.08openalex-snapshot
Sentiment Analysis on Movie Reviews: A Comparative Study of Machine Learning Algorithms and Open Source Technologies
inferred← citeshttps://doi.org/10.5815/ijitcs.2020.06.02openalex-snapshot
FBSEM: A Novel Feature-Based Stacked Ensemble Method for Sentiment Analysis
inferred← citeshttps://doi.org/10.61186/jsdp.20.4.67openalex-snapshot
Improving Persian Opinion Mining based on Polarity and Balancing Positive and Negative Keywords (case study: Digikala reviews for mobile)
inferred← citeshttps://doi.org/10.71107/kx23gt95openalex-snapshot
Opinion mining of student regarding educational system using online platform
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/4openalex-snapshot
Peer Review #4 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.2/reviews/5openalex-snapshot
Peer Review #5 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.3/reviews/5openalex-snapshot
Peer Review #5 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.4/reviews/5openalex-snapshot
Peer Review #5 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.4)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.914openalex-snapshot
Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.