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Construction of a Pysentimiento Labeled Dataset for the Assessment Of Non-Specialized Supervised Learning Models for Sentiment Analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-02145-9openalex-extracted
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.1007/978-3-642-37256-8_11openalex-extracted
Distant Supervision for Emotion Classification with Discrete Binary Values
inferredcites →https://doi.org/10.1007/s10579-015-9328-1openalex-extracted
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts
inferredcites →https://doi.org/10.1007/s11042-022-13492-wopenalex-extracted
Sentiment analysis of COVID-19 social media data through machine learning
inferredcites →https://doi.org/10.1016/j.eswa.2020.114006openalex-extracted
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
inferredcites →https://doi.org/10.1080/13645579.2017.1381821openalex-extracted
Social media analytics for YouTube comments: potential and limitations
inferredcites →https://doi.org/10.1109/bigdata55660.2022.10020449openalex-extracted
COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products
inferredcites →https://doi.org/10.1109/bracis.2014.57openalex-extracted
Lexicon-Based Sentiment Analysis for Reviews of Products in Brazilian Portuguese
inferredcites →https://doi.org/10.1109/bracis.2019.00144openalex-extracted
Identifying Traffic Event Types from Twitter by Multi-Label Classification
inferredcites →https://doi.org/10.1109/icscn.2015.7219856openalex-extracted
NLP based sentiment analysis on Twitter data using ensemble classifiers
inferredcites →https://doi.org/10.1145/2912160.2912204openalex-extracted
Understanding Network Links in Twitter
inferredcites →https://doi.org/10.1145/3185045openalex-extracted
The State-of-the-Art in Twitter Sentiment Analysis
inferredcites →https://doi.org/10.1145/3243082.3264606openalex-extracted
Extraction and Classification of Semantic Data from Twitter
inferredcites →https://doi.org/10.1148/ryai.220007openalex-extracted
Performance of Multiple Pretrained BERT Models to Automate and Accelerate Data Annotation for Large Datasets
inferredcites →https://doi.org/10.1177/01655515211007724openalex-extracted
A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura
inferredcites →https://doi.org/10.18653/v1/s19-2011openalex-extracted
NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers
inferredcites →https://doi.org/10.63317/47akcj8foo4dopenalex-extracted
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
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