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01AmaanP314 /youtube-comment-sentiment YouTube Comments Sentiment Analysis Dataset (1M+ Labeled Comments) Overview This dataset comprises over one million YouTube comments, each annotated with sentiment labels—Positive, Neutral, or Negative. The comments span a diverse range of topics including programming, news, sports, politics and more, and are enriched with comprehensive metadata to facilitate various NLP and sentiment analysis tasks. How to use: import pandas as pd df =… See the full description on the dataset page: https://huggingface.co/datasets/AmaanP314/youtube-comment-sentiment.tabulartext-classification1M<n<10M5 likes268 downloads6mo agoHugging Face02vnkat /youtube-comment-sentiment YouTube Comments Sentiment Analysis Dataset (1M+ Labeled Comments) Overview This dataset comprises over one million YouTube comments, each annotated with sentiment labels—Positive, Neutral, or Negative. The comments span a diverse range of topics including programming, news, sports, politics and more, and are enriched with comprehensive metadata to facilitate various NLP and sentiment analysis tasks. How to use: import pandas as pd df =… See the full description on the dataset page: https://huggingface.co/datasets/vnkat/youtube-comment-sentiment.tabulartext-classification1M<n<10M0 likes50 downloads7mo agoHugging Face03Senem /Nostalgic_Sentiment_Analysis_of_YouTube_Comments_Data Dataset Summary The dataset is a collection of Youtube Comments and it was captured using the YouTube Data API. The data set consists of 1500 nostalgic and non-nostalgic comments in English. Languages The language of the data is English. Citation If you find this dataset usefull for your study, please cite the paper as followed: @article{postalcioglu2020comparison, title={Comparison of Neural Network Models for Nostalgic Sentiment Analysis of YouTube… See the full description on the dataset page: https://huggingface.co/datasets/Senem/Nostalgic_Sentiment_Analysis_of_YouTube_Comments_Data.texttext-classification1K<n<10K5 likes36 downloads3y agoHugging Face04jason1966 /ahsenwaheed_youtube-comments-spam-dataset Youtube Comments Spam Dataset Predicting YouTube Comment Spam: An Insightful Dataset for Text Classification Dataset Info Source: Kaggle Original Size: 0.16 MB Kaggle Downloads: 4,105 Files: 1 Files Youtube-Spam-Dataset.csv Mirrored from Kaggle text1K<n<10K0 likes36 downloads6mo agoHugging Face05breadlicker45 /youtube-commentsthis is a very bad dataset. a better one comming soon. text100K<n<1M1 likes34 downloads4y agoHugging Face06tskolm /youtube_top_popular_videos_commentstabular100K<n<1M0 likes26 downloads4y agoHugging Face07krish12209 /youtube-comment-sentiment YouTube Comments Sentiment Analysis Dataset (1M+ Labeled Comments) Overview This dataset comprises over one million YouTube comments, each annotated with sentiment labels—Positive, Neutral, or Negative. The comments span a diverse range of topics including programming, news, sports, politics and more, and are enriched with comprehensive metadata to facilitate various NLP and sentiment analysis tasks. How to use: import pandas as pd df =… See the full description on the dataset page: https://huggingface.co/datasets/krish12209/youtube-comment-sentiment.tabulartext-classification1M<n<10M0 likes25 downloads3mo agoHugging Face08GwendalTsang /French_Youtube_CommentsCe dataset contient un scraping de commentaires Youtube sur des chaînes "grands publics" destinées aux jeunes. Nous avons notamment scrapé 187269 commentaires sous 29 vidéos de Squeezie. L'autre fichier, qui contient 191856 commentaires, contient pour une bonne part les commentaires sous 39 vidéos de Michou. Le dataset, en l'état actuel n'est pas nettoyé , c'est donné comme c'est sorti de l'API ! Pour une partie, j'ai supprimé la colonne 'username'. Mais elle est reconstructible de plusieurs… See the full description on the dataset page: https://huggingface.co/datasets/GwendalTsang/French_Youtube_Comments.tabular100K<n<1M0 likes21 downloads5mo agoHugging Face09atakshat11 /YouTube-Comments-Dataset-45k-rows YouTube Comments Dataset with Sentiment, Toxicity, and Spam Labels (45K Rows) 📘 Overview This dataset contains over 45,000 real-world YouTube comments collected from a diverse set of YouTube channels across genres such as entertainment, news, devotional content, and education. Each comment has been automatically annotated with: label_sentiment: positive, neutral, or negative label_toxicity: toxic or non-toxic label_spam: spam or not spam The dataset is suitable… See the full description on the dataset page: https://huggingface.co/datasets/atakshat11/YouTube-Comments-Dataset-45k-rows.tabular10K<n<100K0 likes13 downloads1y agoHugging Face10Maxstan /russian_youtube_comments_political_and_nonpoliticalThe data contains comments from political and nonpolitical Russian-speaking YouTube channels. Date interval: 1 year between April 30, 2020, and April 30, 2021 text1M<n<10M1 likes12 downloads4y agoHugging Face11lalit-narayan /youtube-comments-intent-sentimenttabular100K<n<1M0 likes12 downloads2mo agoHugging Face12hasinthakapiyumal /youtube-comment-sl-versiontext1K<n<10K2 likes6 downloads1y agoHugging Face13JoaquinLCalvo /youtube_comments_comedy_spanishtabular1M<n<10M1 likes5 downloads2y agoHugging Face14subinc /youtube-comment-summarytextn<1K0 likes4 downloads1y agoHugging Face15prakash-mani /youtube-comments-summary-engagementtext1K<n<10K1 likes3 downloads1y agoHugging Face16Nadena123 /youtube-comments-consent-based-nlp-nadena tags: - youtube - nlp - sentiment-analysis - social-media - consent - text-classification YouTube Comments Dataset — Consent-Based NLP Collection (Nadena) Dataset Description This dataset contains anonymized YouTube comment histories collected directly from verified contributors via Google Takeout. Every contributor signed a documented consent agreement before any data was exported or used. All personally identifiable information has been removed and replaced… See the full description on the dataset page: https://huggingface.co/datasets/Nadena123/youtube-comments-consent-based-nlp-nadena.tabularn<1K0 likes1 downloads6mo agoHugging Face

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