Data Science Tweets

Title: Data Science Tweets
Author(s): Rogel-Salazar, J
Item Type: Dataset
Abstract: Quantum Tunnel TweetsThe data set contains tweets sourced from @quantum_tunnel and @dt_science as a demo for classifying text using Naive Bayes. The demo is detailed in the book Data Science and Analytics with Python by Dr J Rogel-Salazar. Data contents:Train_QuantumTunnel_Tweets.csv: Labelled tweets for text related to Data Science with three features:DataScience: [0/1] indicating whether the text is about Data Science or not. Date: Date when the tweet was publishedTweet: Text of the tweetTest_QuantumTunnel_Tweets.csv: Testing data with twitter utterances withouth labels:id: A unique identifier for tweetsDate: Date when the tweet was publishedTweet: Text for the tweetFor further information, please get in touch with Dr J Rogel-Salazar.
Quantum Tunnel TweetsThe data set contains tweets sourced from @quantum_tunnel and @dt_science as a demo for classifying text using Naive Bayes. The demo is detailed in the book Data Science and Analytics with Python by Dr J Rogel-Salazar. Data contents:Train_QuantumTunnel_Tweets.csv: Labelled tweets for text related to "Data Science" with three features:DataScience: [0/1] indicating whether the text is about "Data Science" or not. Date: Date when the tweet was publishedTweet: Text of the tweetTest_QuantumTunnel_Tweets.csv: Testing data with twitter utterances withouth labels:id: A unique identifier for tweetsDate: Date when the tweet was publishedTweet: Text for the tweetFor further information, please get in touch with Dr J Rogel-Salazar.
Quantum Tunnel TweetsThe data set contains tweets sourced from @quantum_tunnel and @dt_science as a demo for classifying text using Naive Bayes. The demo is detailed in the book Data Science and Analytics with Python by Dr J Rogel-Salazar. Data contents:Train_QuantumTunnel_Tweets.csv: Labelled tweets for text related to "Data Science" with three features:DataScience: [0/1] indicating whether the text is about "Data Science" or not. Date: Date when the tweet was publishedTweet: Text of the tweetTest_QuantumTunnel_Tweets.csv: Testing data with twitter utterances withouth labels:id: A unique identifier for tweetsDate: Date when the tweet was publishedTweet: Text for the tweetFor further information, please get in touch with Dr J Rogel-Salazar.
Publication Date: 11-Jan-2016
URI: http://hdl.handle.net/10044/1/30342
DOI: http://dx.doi.org/10.6084/m9.figshare.2062551.v1
Keywords: Data Science
Machine Learning Techniques
Twitter messages
classification prediction performance
analytics
Panel Data Analysis
Pattern Recognition and Data Mining
Knowledge Representation and Machine Learning
Computational Physics
Applied Computer Science
Data Science
Machine Learning Techniques
Twitter messages
classification prediction performance
analytics
Panel Data Analysis
Pattern Recognition and Data Mining
Knowledge Representation and Machine Learning
Computational Physics
Applied Computer Science
Appears in Collections:Faculty of Natural Sciences - Research Data



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