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Deep learning for sentiment analysis: successful approaches and future challenges
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9openalex-snapshot
Indexing by latent semantic analysis
inferredcites →https://doi.org/10.1002/asi.21662openalex-snapshot
Sentiment strength detection for the social web
inferredcites →https://doi.org/10.1007/978-1-4899-7687-1_907openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.1007/978-3-031-02143-5openalex-snapshot
Linguistic Structure Prediction
inferredcites →https://doi.org/10.1007/s10791-009-9117-9openalex-snapshot
Learning to rank with (a lot of) word features
inferredcites →https://doi.org/10.1080/00437956.1954.11659520openalex-snapshot
Distributional Structure
inferredcites →https://doi.org/10.1109/taslp.2015.2449071openalex-snapshot
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1111/j.1551-6709.2010.01106.xopenalex-snapshot
Composition in Distributional Models of Semantics
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/1099554.1099713openalex-snapshot
Determining the semantic orientation of terms through gloss classification
inferredcites →https://doi.org/10.1145/1273496.1273577openalex-snapshot
Three new graphical models for statistical language modelling
inferredcites →https://doi.org/10.1145/1341531.1341561openalex-snapshot
A holistic lexicon-based approach to opinion mining
inferredcites →https://doi.org/10.1145/1390156.1390177openalex-snapshot
A unified architecture for natural language processing
inferredcites →https://doi.org/10.1145/2063576.2063635openalex-snapshot
Sentiment classification based on supervised latent n-gram analysis
inferredcites →https://doi.org/10.1145/2436256.2436274openalex-snapshot
Techniques and applications for sentiment analysis
inferredcites →https://doi.org/10.1145/2766462.2767830openalex-snapshot
Twitter Sentiment Analysis with Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/290941.290970openalex-snapshot
Distributional clustering of words for text classification
inferredcites →https://doi.org/10.1162/153244303322533223openalex-snapshot
10.1162/153244303322533223
inferredcites →https://doi.org/10.1162/coli_a_00034openalex-snapshot
Opinion Word Expansion and Target Extraction through Double Propagation
inferredcites →https://doi.org/10.1162/coli_a_00049openalex-snapshot
Lexicon-Based Methods for Sentiment Analysis
inferredcites →https://doi.org/10.1162/coli_a_00221openalex-snapshot
A Statistical Parsing Framework for Sentiment Classification
inferredcites →https://doi.org/10.1184/r1/6473498openalex-snapshot
Learning Word Representations with Hierarchical Sparse Coding
inferredcites →https://doi.org/10.13140/2.1.4108.0004openalex-snapshot
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
inferredcites →https://doi.org/10.1561/1500000011openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1609/icwsm.v6i1.14252openalex-snapshot
Extracting Diverse Sentiment Expressions with Target-Dependent Polarity from Twitter
inferredcites →https://doi.org/10.18653/v1/d13-1170openalex-snapshot
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
inferredcites →https://doi.org/10.18653/v1/d15-1073openalex-snapshot
Neural Networks for Open Domain Targeted Sentiment
inferredcites →https://doi.org/10.18653/v1/d15-1167openalex-snapshot
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/d15-1168openalex-snapshot
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings
inferredcites →https://doi.org/10.18653/v1/d15-1200openalex-snapshot
Do Multi-Sense Embeddings Improve Natural Language Understanding?
inferredcites →https://doi.org/10.18653/v1/d15-1263openalex-snapshot
Better Document-level Sentiment Analysis from RST Discourse Parsing
inferredcites →https://doi.org/10.18653/v1/d15-1278openalex-snapshot
When Are Tree Structures Necessary for Deep Learning of Representations?
inferredcites →https://doi.org/10.2200/s00361ed1v01y201105hlt013openalex-snapshot
Linguistic Structure Prediction
inferredcites →https://doi.org/10.2200/s00416ed1v01y201204hlt016openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.3115/1220355.1220555openalex-snapshot
Determining the sentiment of opinions
inferredcites →https://doi.org/10.3115/1220575.1220619openalex-snapshot
Recognizing contextual polarity in phrase-level sentiment analysis
inferredcites →https://doi.org/10.3115/1220575.1220620openalex-snapshot
Identifying sources of opinions with conditional random fields and extraction patterns
inferredcites →https://doi.org/10.3115/1609067.1609142openalex-snapshot
Semi-supervised polarity lexicon induction
inferredcites →https://doi.org/10.3115/1620754.1620756openalex-snapshot
Subjectivity recognition on word senses via semi-supervised mincuts
inferredcites →https://doi.org/10.3115/976909.979640openalex-snapshot
Predicting the semantic orientation of adjectives
inferredcites →https://doi.org/10.3115/979617.979640openalex-snapshot
Predicting the semantic orientation of adjectives
inferredcites →https://doi.org/10.3115/v1/d14-1054openalex-snapshot
A Joint Segmentation and Classification Framework for Sentiment Analysis
inferredcites →https://doi.org/10.3115/v1/d14-1080openalex-snapshot
Opinion Mining with Deep Recurrent Neural Networks
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/d14-1220openalex-snapshot
Recursive Deep Models for Discourse Parsing
inferredcites →https://doi.org/10.3115/v1/n15-1011openalex-snapshot
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
inferredcites →https://doi.org/10.3115/v1/n15-1146openalex-snapshot
MPQA 3.0: An Entity/Event-Level Sentiment Corpus
inferredcites →https://doi.org/10.3115/v1/n15-1159openalex-snapshot
On the Automatic Learning of Sentiment Lexicons
inferredcites →https://doi.org/10.3115/v1/p14-1014openalex-snapshot
Tagging The Web: Building A Robust Web Tagger with Neural Network
inferredcites →https://doi.org/10.3115/v1/p14-1062openalex-snapshot
A Convolutional Neural Network for Modelling Sentences
inferredcites →https://doi.org/10.3115/v1/p14-1146openalex-snapshot
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
inferredcites →https://doi.org/10.3115/v1/p14-2009openalex-snapshot
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
inferredcites →https://doi.org/10.3115/v1/p15-1098openalex-snapshot
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification
inferredcites →https://doi.org/10.3115/v1/p15-1107openalex-snapshot
A Hierarchical Neural Autoencoder for Paragraphs and Documents
inferredcites →https://doi.org/10.3115/v1/p15-1150openalex-snapshot
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
inferredcites →https://doi.org/10.3115/v1/s14-2033openalex-snapshot
Coooolll: A Deep Learning System for Twitter Sentiment Classification
inferredcites →https://doi.org/10.3758/bf03204766openalex-snapshot
Producing high-dimensional semantic spaces from lexical co-occurrence
inferredcites →https://doi.org/10.4324/9780203461891_chapter_3openalex-snapshot
Speech and language processing
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1308.6242openalex-snapshot
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
inferredcites →https://doi.org/10.5555/176313.176316openalex-snapshot
Class-based n -gram models of natural language
inferredcites →https://doi.org/10.5555/2503308.2188396openalex-snapshot
Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics
inferredcites →https://doi.org/10.63317/2jktnrykui9sopenalex-snapshot
SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Sentiment analysis for mining texts and social networks data: Methods and tools
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ICSH 2018: LSTM based Sentiment Analysis for Patient Experience Narratives in E-survey Tools
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Multiple Music Sentiment Classification Model Based on Convolutional Neural Network
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Aspect-Based Sentiment Analysis on Movie Reviews using Machine Learning
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The Essential of Sentiment Analysis and Opinion Mining in Social Media : Introduction and Survey of the Recent Approaches and Techniques
inferred← citeshttps://doi.org/10.1109/ispa54004.2022.9786284openalex-snapshot
Sentiment Analysis for IMDb Reviews Using Deep Learning Classifier
inferred← citeshttps://doi.org/10.1109/itme.2018.00199openalex-snapshot
News Text Classification Based on Improved Bi-LSTM-CNN
inferred← citeshttps://doi.org/10.1109/jec-ecc.2018.8679558openalex-snapshot
Deep Convolutional Network for Arabic Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/macs68476.2025.11453415openalex-snapshot
Sentiment Analysis for News Articles of Pakistani News Outlets
inferred← citeshttps://doi.org/10.1109/mlise57402.2022.00091openalex-snapshot
Sentiment Analysis Method for Agricultural Product Review Based on Corpus Characteristics and Deep Learning Model
inferred← citeshttps://doi.org/10.1109/pais.2018.8598530openalex-snapshot
Deep learning for online harassment detection in tweets
inferred← citeshttps://doi.org/10.1109/smap63474.2024.00036openalex-snapshot
Social Media Insights into Climate Change: Sentiment Analysis Using VADER and RoBERTa
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3469238openalex-snapshot
Physical Knowledge Analytic Framework for Sea Surface Temperature Prediction
inferred← citeshttps://doi.org/10.1109/tkde.2017.2756658openalex-snapshot
Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3147546openalex-snapshot
Learning Disentangled Representation for Multimodal Cross-Domain Sentiment Analysis
inferred← citeshttps://doi.org/10.1134/s0361768819080024openalex-snapshot
Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models
inferred← citeshttps://doi.org/10.1142/s0218213020400047openalex-snapshot
Sentiment Analysis of Teachers Using Social Information in Educational Platform Environments
inferred← citeshttps://doi.org/10.1142/s1469026820500315openalex-snapshot
An Enhanced Sentiment Analysis Framework Based on Pre-Trained Word Embedding
inferred← citeshttps://doi.org/10.1142/s2196888822500014openalex-snapshot
Context-Based News Headlines Analysis: A Comparative Study of Machine Learning and Deep Learning Algorithms
inferred← citeshttps://doi.org/10.1145/2932708openalex-snapshot
A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning
inferred← citeshttps://doi.org/10.1145/3323503.3360296openalex-snapshot
Characterization of the discrepancies between scores and texts of movie reviews
inferred← citeshttps://doi.org/10.1145/3368926.3369675openalex-snapshot
Vietnamese Sentiment Analysis for Hotel Review based on Overfitting Training and Ensemble Learning
inferred← citeshttps://doi.org/10.1145/3388218.3388229openalex-snapshot
The Use of Word2vec Model in Sentiment Analysis
inferred← citeshttps://doi.org/10.1145/3414523openalex-snapshot
Multimodal News Feed Evaluation System with Deep Reinforcement Learning Approaches
inferred← citeshttps://doi.org/10.1145/3426826.3426842openalex-snapshot
Character-level Recurrent Neural Network for Text Classification Applied to Large Scale Chinese News Corpus
inferred← citeshttps://doi.org/10.1145/3494885.3494932openalex-snapshot
Graph Attention Network with Dependency Parsing for Aspect-level Sentiment Classification
inferred← citeshttps://doi.org/10.1145/3579895.3579939openalex-snapshot
A Comparative Study of CNN and Bi-LSTM in Text-Based Sentiment Analysis
inferred← citeshttps://doi.org/10.1145/3586075openalex-snapshot
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
inferred← citeshttps://doi.org/10.1145/3605152openalex-snapshot
Sentiment Analysis for Hotel Reviews: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1162/coli_a_00221openalex-snapshot
A Statistical Parsing Framework for Sentiment Classification
inferred← citeshttps://doi.org/10.1177/01655515211006594openalex-snapshot
A semiautomatic annotation approach for sentiment analysis
inferred← citeshttps://doi.org/10.1177/09722629231172580openalex-snapshot
Sentiment Analysis Using Machine Learning in Stock Market: A Bibliometric Visualization
inferred← citeshttps://doi.org/10.12677/mos.2024.131005openalex-snapshot
Sentiment Analysis of Text Based on BERT-BiLSTM-BiGRU-CNN Model
inferred← citeshttps://doi.org/10.13053/cys-21-4-2551openalex-snapshot
Text Analysis Using Different Graph-Based Representations
inferred← citeshttps://doi.org/10.1371/journal.pone.0253217openalex-snapshot
Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic
inferred← citeshttps://doi.org/10.14489/vkit.2025.07.pp.055-064openalex-snapshot
ADAPTATION OF THE LEXICON-BASED SENTIMENT ANALYSIS METHOD USING ATTENTION WEIGHTS OF A NEURAL LANGUAGE MODEL
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0120618openalex-snapshot
A Deep Learning Approach Combining CNN and Bi-LSTM with SVM Classifier for Arabic Sentiment Analysis
inferred← citeshttps://doi.org/10.17762/turcomat.v12i10.5252openalex-snapshot
An Effective Sentiment Analysis of Social Media Data Using Deep Recurrent Neural Network Models
inferred← citeshttps://doi.org/10.18178/wcse.2019.06.042openalex-snapshot
Sentiment Analysis of Movie Review Based on LSTM
inferred← citeshttps://doi.org/10.18280/isi.280107openalex-snapshot
A Deep Neural Network Optimized by a Genetic Algorithm to Improve Arabic Sentiment Classification
inferred← citeshttps://doi.org/10.18421/tem94-44openalex-snapshot
Sentiment Analysis towards Actionable Intelligence via Deep Learning
inferred← citeshttps://doi.org/10.18653/v1/2023.semeval-1.93openalex-snapshot
PingAnLifeInsurance at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages with Multi-Model Fusion
inferred← citeshttps://doi.org/10.18653/v1/s17-2110openalex-snapshot
Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets
inferred← citeshttps://doi.org/10.18653/v1/s19-2034openalex-snapshot
EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations
inferred← citeshttps://doi.org/10.18803/capsi.v23.85-98openalex-snapshot
Exploring Natural Language Processing and Sentence Embeddings for Sentiment Analysis of Online Restaurant Reviews
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2699220/v1openalex-snapshot
A Simple Weakly-Supervised Contrastive Learning Framework for Few-shot Sentiment Classification
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3555955/v1openalex-snapshot
Chinese Public's Discourse and Emotional Responses Regarding Japan's Nuclear Wastewater Discharge on Social Media: A Content Analysis of Sina Weibo Data
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3981153/v1openalex-snapshot
Product Insights from Customer-Generated Data Using Topic Modeling with BERTopic and Sentiment Analysis with XLM-T: An Experiment on Turkish Reviews
inferred← citeshttps://doi.org/10.2196/28292openalex-snapshot
Improving Human Happiness Analysis Based on Transfer Learning: Algorithm Development and Validation
inferred← citeshttps://doi.org/10.2196/preprints.55331openalex-snapshot
Fostering positive public sentiments during pandemic outbreaks: Evidence from Weibo posts in China (Preprint)
inferred← citeshttps://doi.org/10.22215/etd/2023-15505openalex-snapshot
Human Emotion and Sentiment in Natural Language Understanding and Generation using Large Language Models with Limited to No Labeled Data
inferred← citeshttps://doi.org/10.22456/2175-2745.117481openalex-snapshot
Exploring Supervised Techniques for Automated Recognition of Intention Classes from Portuguese Free Texts on Agriculture
inferred← citeshttps://doi.org/10.23919/elinfocom.2019.8706408openalex-snapshot
Sentiment Analysis of Saudi Dialect Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.2478/jsiot-2022-0008openalex-snapshot
Modeling of Optimal Fully Connected Deep Neural Network based Sentiment Analysis on Social Networking Data
inferred← citeshttps://doi.org/10.26615/978-954-452-049-6_044openalex-snapshot
Good News vs. Bad News: What are they talking about?
inferred← citeshttps://doi.org/10.30534/ijatcse/2020/114922020openalex-snapshot
Multi-Labelled Emotion with Intensity Based Sentiment Classification Model in Tweets using Convolution Neural Networks
inferred← citeshttps://doi.org/10.31449/inf.v47i5.4673openalex-snapshot
Sentiment Analysis of Financial Textual data Using Machine Learning and Deep Learning Models
inferred← citeshttps://doi.org/10.3217/jucs-022-05-0671openalex-snapshot
Web Service SWePT: A Hybrid Opinion Mining Approach
inferred← citeshttps://doi.org/10.3233/ida-173807openalex-snapshot
Sentiment analysis and opinion mining applied to scientific paper reviews
inferred← citeshttps://doi.org/10.3233/ida-205130openalex-snapshot
An attention network based on feature sequences for cross-domain sentiment classification
inferred← citeshttps://doi.org/10.3233/jifs-189353openalex-snapshot
Component identification and defect detection in transmission lines based on deep learning
inferred← citeshttps://doi.org/10.32604/cmc.2022.020480openalex-snapshot
An Optimized Deep Learning Model for Emotion Classification in Tweets
inferred← citeshttps://doi.org/10.33545/26633329.2024.v6.i1a.150openalex-snapshot
Sentiment analysis using different machine learning models: A study for the prediction of customer’s review
inferred← citeshttps://doi.org/10.3389/fpubh.2023.1193750openalex-snapshot
Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data
inferred← citeshttps://doi.org/10.3390/app13105893openalex-snapshot
A Fuzzy-Based Emotion Detection Method to Classify the Relevance of Pleasant/Unpleasant Emotions Posted by Users in Reviews of Service Facilities
inferred← citeshttps://doi.org/10.3390/app9061123openalex-snapshot
A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
inferred← citeshttps://doi.org/10.3390/app9183717openalex-snapshot
Lexicon-Enhanced Attention Network Based on Text Representation for Sentiment Classification
inferred← citeshttps://doi.org/10.3390/atmos11030246openalex-snapshot
Prediction of Precipitation Based on Recurrent Neural Networks in Jingdezhen, Jiangxi Province, China
inferred← citeshttps://doi.org/10.3390/educsci13090914openalex-snapshot
Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students’ Emotions in STEM during Online Learning
inferred← citeshttps://doi.org/10.3390/electronics9030483openalex-snapshot
Sentiment Analysis Based on Deep Learning: A Comparative Study
inferred← citeshttps://doi.org/10.3390/info10050162openalex-snapshot
Cross-Domain Text Sentiment Analysis Based on CNN_FT Method
inferred← citeshttps://doi.org/10.3390/informatics8010011openalex-snapshot
Deep Learning for Enterprise Systems Implementation Lifecycle Challenges: Research Directions
inferred← citeshttps://doi.org/10.3390/jtaer17010001openalex-snapshot
Sentiment Analysis of Review Data Using Blockchain and LSTM to Improve Regulation for a Sustainable Market
inferred← citeshttps://doi.org/10.3390/math10162947openalex-snapshot
Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki
inferred← citeshttps://doi.org/10.3390/math9090987openalex-snapshot
The Measurement of Demographic Temperature Using the Sentiment Analysis of Data from the Social Network VKontakte
inferred← citeshttps://doi.org/10.37661/1816-0301-2026-23-1-88-104openalex-snapshot
Tonal spaces of vector language models
inferred← citeshttps://doi.org/10.3897/popecon.4.e60915openalex-snapshot
Database “Pro-family (pronatalist) communities in the social network VKontakte”
inferred← citeshttps://doi.org/10.3991/ijet.v15i18.15425openalex-snapshot
A study of Grammar Analysis in English Teaching With Deep Learning Algorithm
inferred← citeshttps://doi.org/10.4018/978-1-5225-6117-0.ch003openalex-snapshot
Deep Learning for Opinion Mining
inferred← citeshttps://doi.org/10.4018/978-1-6684-6303-1.ch020openalex-snapshot
A Probabilistic Deep Learning Approach for Twitter Sentiment Analysis
inferred← citeshttps://doi.org/10.4018/979-8-3693-8186-1.ch018openalex-snapshot
Machine Learning for Financial Data Forecasting
inferred← citeshttps://doi.org/10.4018/ijdai.2020070102openalex-snapshot
A Probabilistic Deep Learning Approach for Twitter Sentiment Analysis
inferred← citeshttps://doi.org/10.4114/intartif.vol21iss62pp91-102openalex-snapshot
Deep Learning Applied on Refined Opinion Review Datasets
inferred← citeshttps://doi.org/10.46254/af03.20220180openalex-snapshot
Tagalog Sentiment Analysis Using Deep Learning Approach With Backward Slang Inclusion
inferred← citeshttps://doi.org/10.48550/arxiv.1810.12125openalex-snapshot
Gradual Machine Learning for Entity Resolution
inferred← citeshttps://doi.org/10.48550/arxiv.1902.00753openalex-snapshot
Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
inferred← citeshttps://doi.org/10.5120/ijca2020920842openalex-snapshot
Customer Reviews’ Sentiments Analysis using Deep Learning
inferred← citeshttps://doi.org/10.5121/csit.2017.70600openalex-snapshot
Computer Science & Information Technology (CS & IT)
inferred← citeshttps://doi.org/10.5121/csit.2017.70603openalex-snapshot
Music Mood Dataset Creation Based on Last FM Tags
inferred← citeshttps://doi.org/10.5121/ijaia.2017.8403openalex-snapshot
Crowdsourcing Emotions in Music Domain
inferred← citeshttps://doi.org/10.52783/jes.2654openalex-snapshot
Evaluation Model of Sports and Health Knowledge Dissemination Effect Based on Social Media Data and Sentiment Analysis
inferred← citeshttps://doi.org/10.54076/jumpa.v3i2.329openalex-snapshot
Sentiment analysis of the attorney general's office performance in handling corruption cases on twitter using naïve bayes classification algorithm
inferred← citeshttps://doi.org/10.54216/jisiot.040102openalex-snapshot
Intelligent Fault Diagnosis of Gears Based on Deep Learning Feature Extraction and Particle Swarm Support Vector Machine State Recognition
inferred← citeshttps://doi.org/10.56726/irjmets46095openalex-snapshot
ROLE OF NATURAL LANGUAGE PROCESSING (NLP) IN THE FIELD OF SENTIMENT ANALYSIS
inferred← citeshttps://doi.org/10.5755/j01.itc.52.1.32119openalex-snapshot
Improved Feature Representation Using Collaborative Network for Cross-Domain Sentiment Analysis
inferred← citeshttps://doi.org/10.58168/cismp2024_385-391openalex-snapshot
USING MACHINE LEARNING TO ANALYZE THE EMOTIONAL TONE OF RUSSIAN-LANGUAGE PRODUCT REVIEWS
inferred← citeshttps://doi.org/10.5937/telfor1702104bopenalex-snapshot
Sentiment classification of documents in Serbian: The effects of morphological normalization and word embeddings
inferred← citeshttps://doi.org/10.59494/dsi.2021.1.2openalex-snapshot
Visual analytics of large-scale E-government text data via simplified word cloud
inferred← citeshttps://doi.org/10.62273/vcmk6137openalex-snapshot
Using Machine Learning Sentiment Analysis to Evaluate Learning Impact
inferred← citeshttps://doi.org/10.70675/e5daf161ze829z4e0fzbd75zb727195984b2openalex-snapshot
Neural Methods for Sentiment Analysis and Text Summarization
inferred← citeshttps://doi.org/10.7287/peerj-cs.422v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.422v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.422v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.422v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.422openalex-snapshot
Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings
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