Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Vaccine Tweets Analysis Using Naive Bayes Classifier and TF-IDF Techniques
This paper explores the application of natural language processing (NLP) and machine learning techniques to sentiment analysis on a dataset of tweets on COVID-19 vaccines. The dataset was obtained from Kaggle and covers the full course of the immunization program. The tweets were cleaned using a variety of preprocessing approaches, such as handling contractions, removing URLs and user handles, and adjusting punctuation. The Text Blob library was used to assign sentiment ratings, while the TF-IDF technique was used to carry out feature extraction. The revised data was used to train a Naive Bayes classifier, which predicted the sentiment labels for every tweet. To evaluate the model’s performance, evaluation criteria such F1 score, accuracy, precision, and recall were used. The study’s findings provide insightful information on how the general public feels about COVID-19 vaccinations.
Vaccine Tweets Analysis Using Naive Bayes Classifier and TF-IDF Techniques
This paper explores the application of natural language processing (NLP) and machine learning techniques to sentiment analysis on a dataset of tweets on COVID-19 vaccines. The dataset was obtained from Kaggle and covers the full course of the immunization program. The tweets were cleaned using a variety of preprocessing approaches, such as handling contractions, removing URLs and user handles, and adjusting punctuation. The Text Blob library was used to assign sentiment ratings, while the TF-IDF technique was used to carry out feature extraction. The revised data was used to train a Naive Bayes classifier, which predicted the sentiment labels for every tweet. To evaluate the model’s performance, evaluation criteria such F1 score, accuracy, precision, and recall were used. The study’s findings provide insightful information on how the general public feels about COVID-19 vaccinations.
Vaccine Tweets Analysis Using Naive Bayes Classifier and TF-IDF Techniques
Lect. Notes in Networks, Syst.
Ben Ahmed, Mohamed (Herausgeber:in) / Boudhir, Anouar Abdelhakim (Herausgeber:in) / El Meouche, Rani (Herausgeber:in) / Karaș, İsmail Rakıp (Herausgeber:in) / Mohamed, Ben Ahmed (Autor:in) / Abdelhakim, Boudhir Anouar (Autor:in) / Yousra, Dahdouh (Autor:in)
The Proceedings of the International Conference on Smart City Applications ; 2023 ; Paris, France
20.02.2024
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Sentiment Analysis , Machine Learning , Natural Language Processing , Text Blob , TF-IDF , Naive Bayes Classifier , COVID-19 , Vaccines , Twitter Data , Text Preprocessing , Feature Extraction , Model Evaluation Engineering , Transportation Technology and Traffic Engineering , Computational Intelligence
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