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YouTube垃圾邮件收集数据集

YouTube垃圾邮件收集数据集

Scene:

Computer

Data Type:

Classification
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Data Preview ? 160M

    Data Structure ?

    *数据结构实际以真实数据为准

    This corpus has been collected using the YouTube Data API v3.

    Data Set Information:

    The table below lists the datasets, the YouTube video ID, the amount of samples in each class and the total number of samples per dataset.

    Dataset --- YouTube ID -- # Spam - # Ham - Total
    Psy ------- 9bZkp7q19f0 --- 175 --- 175 --- 350
    KatyPerry - CevxZvSJLk8 --- 175 --- 175 --- 350
    LMFAO ----- KQ6zr6kCPj8 --- 236 --- 202 --- 438
    Eminem ---- uelHwf8o7_U --- 245 --- 203 --- 448
    Shakira --- pRpeEdMmmQ0 --- 174 --- 196 --- 370

    Note: the chronological order of the comments were kept.


    Attribute Information:

    The collection is composed by one CSV file per dataset, where each line has the following attributes:

    COMMENT_ID,AUTHOR,DATE,CONTENT,TAG

    We offer one example bellow:

    z12oglnpoq3gjh4om04cfdlbgp2uepyytpw0k,Francisco Nora,2013-11-28T19:52:35,please like :D [Web link],1


    Relevant Papers:

    Alberto, T.C., Lochter J.V., Almeida, T.A. TubeSpam: Comment Spam Filtering on YouTube. Proceedings of the 14th IEEE International Conference on Machine Learning and Applications (ICMLA'15), 1-6, Miami, FL, USA, December, 2015.

    T.A. ALMEIDA, T.P. SILVA, I. SANTOS and J.M. GOMEZ HIDALGO. Text Normalization and Semantic Indexing to Enhance Instant Messaging and SMS Spam Filtering. Knowledge-based Systems, Elsevier, 108(2016), 25-32, 2016.



    Citation Request:

    We would appreciate:

    1. If you find this collection useful, make a reference to the paper below and the web page: [Web link].
    2. Send us a message either to talmeida < AT > ufscar.br or tuliocasagrande < AT > acm.org in case you make use of the corpus.

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