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An_Improved_Approach_for_Sentiment_Analysis_of_Arabic_Tweets_in_Twitter_Social_Media.pdf- Sentiment_analysis_for_the_news_data_based_on_the_social_media.pdf
- Study_on_Machine_learning_based_Social_Media_and_Sentiment_analysis_for_medical_data_applications.pdf
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- A_Survey_of_Sentiment_Analysis_from_Social_Media_Data.pdf
- Anomaly_Detection_in_Operating_System_Logs_with_Deep_Learning-Based_Sentiment_Analysis.pdf
- Prediction_of_Aggressive_Comments_in_Social_Media_an_Exploratory_Study.pdf
- Fine-grained_sentiment_analysis_of_social_media_with_emotion_sensing.pdf
- Systematical_Approach_for_Detecting_the_Intention_and_Intensity_of_Feelings_on_Social_Network1.pdf
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- Survey_on_data_analysis_in_social_media_A_practical_application_aspect.pdf
- A_Dynamic_Bayesian_Network_Approach_for_Analysing_Topic-Sentiment_Evolution.pdf
- Are_They_Different_Affect_Feeling_Emotion_Sentiment_and_Opinion_Detection_in_Text.pdf
- Distantly_Supervised_Lifelong_Learning_for_Large-Scale_Social_Media_Sentiment_Analysis.pdf
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- Emotion_Detection_in_Online_Social_Networks_A_Multilabel_Learning_Approach.pdf
- Exploiting_Long-Term_Dependency_for_Topic_Sentiment_Analysis.pdf
- Predicting_Social_Emotions_from_Readers_Perspective.pdf
- Extracting_Hierarchical_Structure_of_Web_Video_Groups_Based_on_Sentiment-Aware_Signed_Network_Analysis.pdf
- A_Systematic_Review_on_Implicit_and_Explicit_Aspect_Extraction_in_Sentiment_Analysis.pdf
- Light_Gradient_Boosting_Machine_for_General_Sentiment_Classification_on_Short_Texts_A_Comparative_Evaluation.pdf
- Using_Artificial_Intelligence_to_Understand_What_Causes_Sentiment_Changes_on_Social_Media.pdf
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- Entity-Sensitive_Attention_and_Fusion_Network_for_Entity-Level_Multimodal_Sentiment_Classification.pdf
- Fast_Supervised_Topic_Models_for_Short_Text_Emotion_Detection.pdf
- Fast_Supervised_Topic_Models_for_Short_Text_Emotion_Detection1.pdf
- Multistep_Deep_System_for_Multimodal_Emotion_Detection_With_Invalid_Data_in_the_Internet_of_Things.pdf
- 3424308.pdf
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- Case_Studies_on_the_Use_of_Sentiment_Analysis_to_Assess_the_Effectiveness_and_Safety_of_Health_Technologies_A_Scoping_Review.pdf
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- Cross-Cultural_Polarity_and_Emotion_Detection_Using_Sentiment_Analysis_and_Deep_Learning_on_COVID-19_Related_Tweets1.pdf
- Cross-Cultural_Polarity_and_Emotion_Detection_Using_Sentiment_Analysis_and_Deep_Learning_on_COVID-19_Related_Tweets.pdf
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- Sentiment_Identification_in_Football-Specific_Tweets.pdf
- Halal_Products_on_Twitter_Data_Extraction_and_Sentiment_Analysis_Using_Stack_of_Deep_Learning_Algorithms.pdf
- Learning_Political_Polarization_on_Social_Media_Using_Neural_Networks.pdf
- Transfer_Correlation_Between_Textual_Content_to_Images_for_Sentiment_Analysis.pdf
- On_the_Statistical_and_Temporal_Dynamics_of_Sentiment_Analysis.pdf
- Semantic-Emotion_Neural_Network_for_Emotion_Recognition_From_Text.pdf
- Challenges_and_Recommended_Solutions_in_Multi-Source_and_Multi-Domain_Sentiment_Analysis.pdf
- A_Multi-Layer_Dual_Attention_Deep_Learning_Model_With_Refined_Word_Embeddings_for_Aspect-Based_Sentiment_Analysis.pdf
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- CurrentStateofTextSentimentAnalysisfromOpiniontoEmotionMining.pdf
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- Survey_on_Aspect-Level_Sentiment_Analysis.pdf
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- EmotionDetectionATechnologyreview.pdf
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- SentimentAnalysisinTwitteFromClassification.pdf
- CurrentStateofTextSentimentAnalysisfromOpiniontoEmotionMining.pdf
- LatentDiscriminativeModelsforSocialEmotionDetectionwithEmotionalDependency.pdf
- article1.pdf
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- Social_Image_Sentiment_Analysis_by_Exploiting_Multimodal_Content_and_Heterogeneous_Relations.pdf
- AutomaticSentimentDetectioninNaturalisticAudio.pdf
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- EmotionDetectionfromTextviaEnsembleClassificationUsingWordEmbeddings.pdf
- Impact_of_Big_Data_and_Machine_Learning_on_Digital_Transformation_in_Marketing_A_Literature_Review.pdf
- A_Hybrid_Framework_for_Sentiment_Analysis_Using_Genetic_Algorithm_Based_Feature_Reduction.pdf
- APattern-BasedApproachforMulti-Class.pdf
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- article2.pdf
- Exploiting_Long-Term_Dependency_for_Topic_Sentiment_Analysis.pdf
- IterativeFeatureNormalizationSchemeforAutomaticEmotionDetectionfromSpeech.IEEETransactionsonAffectiveComputing.pdf
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- Sentiment_Lexicon_Construction_With_Hierarchical_Supervision_Topic_Model.pdf
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- InvestigatingCOVID-19NewsAcrossFourNationsATopicModelingandSentimentAnalysisApproach.pdf
- Supervised_and_Traditional_Term_Weighting_Methods_for_Automatic_Text_Categorization.pdf
- Fast_Supervised_Topic_Models_for_Short_Text_Emotion_Detection.pdf
- Read_Watch_Listen_and_Summarize_Multi-Modal_Summarization_for_Asynchronous_Text_Image_Audio_and_Video.pdf
- GenerativeandDiscriminativeFuzzyRestrictedBoltzmannMachineLearningforTextandImageClassification.pdf
- GenerativeandDiscriminativeFuzzyRestricted.pdf
- ExploringDiverseFeaturesforSentimentQuantificationUsingMachineLearningAlgorithms.pdf
- ASystematicSpatialandTemporalSentimentAnalysisonGeo-Tweets.pdf
- 5.pdf
- Opinion_Mining_Sentiment_Analysis_and_Emotion_Understanding_in_Advertising_A_Bibliometric_Analysis.pdf
- Short_Text_Sentiment_Analysis_Based_on_Multi-Channel_CNN_With_Multi-Head_Attention_Mechanism.pdf
- Enhanced_Text_Matching_Based_on_Semantic_Transformation.pdf
- ClassAssociationandAttributeRelevancyBasedImputationAlgorithmtoReduceTwitterDataforOptimalSentimentAnalysis.pdf
- Short_Text_Clustering_Enhanced_by_Semantic_Matching_Model.pdf
- CombinationofRecursiveandRecurrentNeuralNetworksforAspect-BasedSentimentAnalysisUsingInter-AspectRelation.pdf
- SentimentAnalysisWithComparisonEnhancedDeepNeuralNetwork.pdf
- EMR-Based_Phenotyping_of_Ischemic_Stroke_Using_Supervised_Machine_Learning_and_Text_Mining_Techniques.pdf
- Cross-Cultural_Polarity_and_Emotion_Detection_Using_Sentiment_Analysis_and_Deep_Learning_on_COVID-19_Related_Tweets.pdf
- Lexicon-Enhanced_LSTM_With_Attention_for_General_Sentiment_Analysis.pdf
- Aspect-Based_Sentiment_Analysis_A_Survey_of_Deep_Learning_Methods.pdf
- AMachineLearningApproachfortheAutomaticClassificationofSchizophrenicDiscourse.pdf
- Unsupervised_Genre-Based_Multidomain_Sentiment_Lexicon_Learning_Using_Corpus-Generated_Polarity_Seed_Words.pdf
- SEML_A_Semi-Supervised_Multi-Task_Learning_Framework_for_Aspect-Based_Sentiment_Analysis.pdf
- Multi-ClassSentimentAnalysisinTwitterWhatifClassificationisNottheAnswer.pdf
- Deep_Sentiment_Classification_and_Topic_Discovery_on_Novel_Coronavirus_or_COVID-19_Online_Discussions_NLP_Using_LSTM_Recurrent_Neural_Network_Approach.pdf
- Improving_the_Performance_of_Sentiment_Analysis_of_Tweets_Containing_Fuzzy_Sentiment_Using_the_Feature_Ensemble_Model.pdf
- Multi-Modal_Sentiment_Classification_With_Independent_and_Interactive_Knowledge_via_Semi-Supervised_Learning.pdf
- 4.pdf
- Empowering_Real-Time_Traffic_Reporting_Systems_With_NLP-Processed_Social_Media_Data.pdf
- ACooperativeBinary-ClusteringFrameworkBasedonMajorityVotingforTwitterSentimentAnalysis.pdf
- Halal_Products_on_Twitter_Data_Extraction_and_Sentiment_Analysis_Using_Stack_of_Deep_Learning_Algorithms.pdf
- Large-Scale_Text_Classification_Using_Scope-Based_Convolutional_Neural_Network_A_Deep_Learning_Approach.pdf
- Bi-Level_Attention_Model_for_Sentiment_Analysis_of_Short_Texts.pdf
- Sentiment_Analysis_of_Comment_Texts_Based_on_BiLSTM.pdf
- Predicting_Supervise_Machine_Learning_Performances_for_Sentiment_Analysis_Using_Contextual-Based_Approaches.pdf
- A_Mechanics-Based_Similarity_Measure_for_Text_Classification_in_Machine_Learning_Paradigm.pdf
- The_Construction_of_Sentiment_Lexicon_Based_on_Context-Dependent_Part-of-Speech_Chunks_for_Semantic_Disambiguation.pdf
- ChallengesandRecommendedSolutionsinMulti-SourceandMulti-DomainSentimentAnalysis.pdf
- Deep_Learning_for_Aspect-Level_Sentiment_Classification_Survey_Vision_and_Challenges.pdf
- ApplicationofBusinessIntelligenceinFinancialServicesAug911.docx
- article1.pdf
- article2.pdf
- assignments_doc.docx
- Venkateshetal.-2012-Consumeracceptanceanduseofinformationtechnol.pdf
- VenkateshUserAcceptanceofInformationTechnology2003.pdf
- New-SpecialSectionStrategicIntegrationofBlockchainTechnology.pdf
- New-WhatDrivestheAdoptionoftheBlockchainTechnology_AFit-ViabilityPerspective.pdf
- A_survey_of_sentiment_analysis_techniques.pdf
- Validating_Sentiment_Analysis_on_Opinion_Mining_Using_Self-reported_Attitude_Scores.pdf
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