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Annotation Technique for Health-Related Tweets Sentiment Analysis

https://doi.org/10.1109/isspit.2018.8642685
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-18117-2_2openalex-snapshot
Building Large Arabic Multi-domain Resources for Sentiment Analysis
inferredcites →https://doi.org/10.1016/j.amepre.2013.02.025openalex-snapshot
A Practical Approach for Content Mining of Tweets
inferredcites →https://doi.org/10.1016/j.jocs.2017.01.010openalex-snapshot
Extraction of emotions from multilingual text using intelligent text processing and computational linguistics
inferredcites →https://doi.org/10.1080/1369118x.2016.1182197openalex-snapshot
Analyzing public sentiments online: combining human- and computer-based content analysis
inferredcites →https://doi.org/10.1108/imds-06-2016-0207openalex-snapshot
Detecting sarcasm in customer tweets: an NLP based approach
inferredcites →https://doi.org/10.1109/access.2017.2776930openalex-snapshot
Deep Convolution Neural Networks for Twitter Sentiment Analysis
inferredcites →https://doi.org/10.1109/asar.2017.8067771openalex-snapshot
Arabic language sentiment analysis on health services
inferredcites →https://doi.org/10.1109/iea.2018.8387151openalex-snapshot
Sentiment analysis of Twitter corpus related to artificial intelligence assistants
inferredcites →https://doi.org/10.1109/taffc.2017.2723012openalex-snapshot
Inferring Affective Meanings of Words from Word Embedding
inferredcites →https://doi.org/10.1109/taslp.2017.2788182openalex-snapshot
Refining Word Embeddings Using Intensity Scores for Sentiment Analysis
inferredcites →https://doi.org/10.1145/1060745.1060797openalex-snapshot
Opinion observer
inferredcites →https://doi.org/10.14569/ijacsa.2017.080603openalex-snapshot
Sentiment Analysis on Twitter Data using KNN and SVM
inferredcites →https://doi.org/10.18653/v1/d15-1299openalex-snapshot
ASTD: Arabic Sentiment Tweets Dataset
inferredcites →https://doi.org/10.18653/v1/s16-1024openalex-snapshot
UofL at SemEval-2016 Task 4: Multi Domain word2vec for Twitter Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/w15-3202openalex-snapshot
Deep Learning Models for Sentiment Analysis in Arabic
inferredcites →https://doi.org/10.2319/062816-508.1openalex-snapshot
Twitter analysis of the orthodontic patient experience with braces vs Invisalign
inferredcites →https://doi.org/10.4018/joeuc.2017100103openalex-snapshot
Sentiment Analysis of Tweets for Estimating Criticality and Security of Events
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/10.48550/arxiv.1512.01100openalex-snapshot
Effective LSTMs for Target-Dependent Sentiment Classification

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4565571openalex-extracted
WeVoTe: A Weighted Voting Technique for Automatic Sentiment Annotation of Moroccan Dialect Comments
inferred← citeshttps://doi.org/10.1002/9781119792109.ch14openalex-snapshot
Comparative Sentiment Analysis Through Traditional and Machine Learning‐Based Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-46224-6_8openalex-snapshot
An Automated Corpus Annotation Experiment in Brazilian Portuguese for Sentiment Analysis in Public Security
inferred← citeshttps://doi.org/10.1007/978-981-19-7892-0_12openalex-snapshot
Tweet Classification on the Base of Sentiments Using Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-19-9090-8_3openalex-snapshot
A Study of Deep Learning Algorithms in Sentiment Analysis of Diverse Domains
inferred← citeshttps://doi.org/10.1007/s10462-021-09989-9openalex-snapshot
Arabic sentiment analysis using recurrent neural networks: a review
inferred← citeshttps://doi.org/10.1007/s10462-021-10030-2openalex-snapshot
Over a decade of social opinion mining: a systematic review
inferred← citeshttps://doi.org/10.1007/s10742-025-00354-9openalex-snapshot
Sentiment analysis on playstore user reviews of healthcare apps using deep learning techniques
inferred← citeshttps://doi.org/10.1007/s10791-026-10551-wopenalex-snapshot
Sentiment analysis with Hierarchical Attention Topic Aware Hierarchical Multi-Attention Network using citation sentences
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106836openalex-snapshot
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
inferred← citeshttps://doi.org/10.1016/j.procs.2020.01.062openalex-snapshot
Tweedle: Sensitivity Check in Health-related Social Short Texts based on Regret Theory
inferred← citeshttps://doi.org/10.1108/jima-12-2020-0355openalex-snapshot
Mining Arabic Twitter conversations on health care: a new approach to analysing Arabic language on social media
inferred← citeshttps://doi.org/10.1109/access.2021.3073215openalex-snapshot
A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier
inferred← citeshttps://doi.org/10.1109/access.2024.3359430openalex-snapshot
WeVoTe: A Weighted Voting Technique for Automatic Sentiment Annotation of Moroccan Dialect Comments
inferred← citeshttps://doi.org/10.1109/esmarta52612.2021.9515751openalex-snapshot
Deep Attentional Bidirectional LSTM for Arabic Sentiment Analysis In Twitter
inferred← citeshttps://doi.org/10.1109/isspit47144.2019.9001781openalex-snapshot
A computationally efficient BiLSTM based approach for the binary sentiment classification
inferred← citeshttps://doi.org/10.1177/16094069211045476openalex-snapshot
Without Qualitative Health Data, Precision Health Will Be Imprecise
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0111045openalex-snapshot
MSTD: Moroccan Sentiment Twitter Dataset
inferred← citeshttps://doi.org/10.18297/etd/3931openalex-snapshot
Computer aided diagnosis system for breast cancer using deep learning.
inferred← citeshttps://doi.org/10.32591/coas.ojit.0501openalex-snapshot
inferred← citeshttps://doi.org/10.32591/coas.ojit.0501.01001oopenalex-snapshot
Machine Learning Techniques, Features, Datasets, and Algorithm Performance Parameters for Sentiment Analysis: A Systematic Review
inferred← citeshttps://doi.org/10.48084/etasr.5662openalex-snapshot
Arabic Sentiment Analysis for Twitter Data: A Systematic Literature Review
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