On the public citation graph

Extracting Gamers' Opinions from Reviews

0 signed · 34 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/1-4020-4102-0_1openalex-snapshot
Contextual Valence Shifters
inferredcites →https://doi.org/10.1007/978-1-4471-4555-4_9openalex-snapshot
Sentic Computing for Social Media Analysis, Representation, and Retrieval
inferredcites →https://doi.org/10.1007/978-1-4899-7687-1_907openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.1007/978-3-031-02145-9openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.1007/978-3-319-03419-5openalex-snapshot
Analyzing Discourse and Text Complexity for Learning and Collaborating A Cognitive Approach Based on Natural Language Processing
inferredcites →https://doi.org/10.1007/978-3-319-24258-3_47openalex-snapshot
ReaderBench : An Integrated Cohesion-Centered Framework
inferredcites →https://doi.org/10.1007/978-3-319-44748-3_35openalex-snapshot
Expressing Sentiments in Game Reviews
inferredcites →https://doi.org/10.1007/978-3-642-30864-2_24openalex-snapshot
A Statistical Approach to Star Rating Classification of Sentiment
inferredcites →https://doi.org/10.1109/wisa.2014.55openalex-snapshot
Machine Learning and Lexicon Based Methods for Sentiment Classification: A Survey
inferredcites →https://doi.org/10.1111/j.1467-8640.2012.00460.xopenalex-snapshot
CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/2723576.2723647openalex-snapshot
ReaderBench
inferredcites →https://doi.org/10.1177/0539018405058216openalex-snapshot
What are emotions? And how can they be measured?
inferredcites →https://doi.org/10.1561/1500000011openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1561/9781601981516openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1609/icwsm.v8i1.14550openalex-snapshot
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
inferredcites →https://doi.org/10.18653/v1/d13-1170openalex-snapshot
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
inferredcites →https://doi.org/10.2307/2092070openalex-snapshot
The General Inquirer: A Computer Approach to Content Analysis.
inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot
Thumbs up?
inferredcites →https://doi.org/10.3758/s13428-016-0743-zopenalex-snapshot
Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis
inferredcites →https://doi.org/10.4135/9781412983938openalex-snapshot
Discriminant Analysis
inferredcites →https://doi.org/10.48550/arxiv.cs/0205070openalex-snapshot
Thumbs up? Sentiment Classification using Machine Learning Techniques
inferredcites →https://doi.org/10.63317/47akcj8foo4dopenalex-snapshot
Twitter as a Corpus for Sentiment Analysis and Opinion Mining

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.1509openalex-snapshot
Sentiment analysis using fuzzy logic: A comprehensive literature review
inferred← citeshttps://doi.org/10.1007/978-3-030-65218-0_9openalex-snapshot
Game Experience Evaluation. A Study of Game Reviews on the Steam Platform
inferred← citeshttps://doi.org/10.1007/978-981-15-0637-6_27openalex-snapshot
Comprehensive Exploration of Game Reviews Extraction and Opinion Mining Using NLP Techniques
inferred← citeshttps://doi.org/10.1007/s11042-022-14070-wopenalex-snapshot
An opinion mining methodology to analyse games for health
inferred← citeshttps://doi.org/10.1007/s41060-023-00469-7openalex-snapshot
A graph neural network-based machine learning model for sentiment polarity and behavior identification of COVID patients
inferred← citeshttps://doi.org/10.1109/iccp48234.2019.8959677openalex-snapshot
Sentiment Analysis of Events in Social Media
inferred← citeshttps://doi.org/10.1109/iceei59426.2023.10346219openalex-snapshot
Sentiment Analysis of Game Reviews on STEAM using BERT, BiLSTM, and CRF
inferred← citeshttps://doi.org/10.1109/taffc.2024.3434355openalex-snapshot
EDSA-Ensemble: An Event Detection Sentiment Analysis Ensemble Architecture
inferred← citeshttps://doi.org/10.1177/1094428117719322openalex-snapshot
Text Classification for Organizational Researchers
inferred← citeshttps://doi.org/10.3390/math9212722openalex-snapshot
Topic-Based Document-Level Sentiment Analysis Using Contextual Cues
inferred← citeshttps://doi.org/10.54254/2755-2721/2024.20540openalex-snapshot
Sentiment Analysis and Rating Video Game Dimensions via NLP
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.