Select Language

AI社区

公开数据集

Youtube烹饪频道观众在Hinglish数据集中的评论

Youtube烹饪频道观众在Hinglish数据集中的评论

647K
627 浏览
0 喜欢
2 次下载
0 条讨论
Computer Classification

Data Set Information:The datasets are taken from top 2 Indian cooking channel named Nisha Madhulika channel and Kabitaa......

数据结构 ? 647K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    The datasets are taken from top 2 Indian cooking channel named Nisha Madhulika channel and Kabitaa€?s  Kitchen channel.
    Both the datasets are divided into seven categories :-
    Label 1- Gratitude
    Label 2- about the recipe
    Label 3- about the video
    Label 4- Praising
    Label 5- Hybrid
    Label 6- Undefined
    Label 7- Suggestions and queries
    All the labelling has been done manually.
    Nisha Madhulika dataset:
    Dataset characteristics: Multivariate
    Number of instances: 4900
    Area: Cooking
    Attribute characteristics: Real
    Number of attributes: 3
    Date donated: March, 2019
    Associate tasks: Classification
    Missing values: Null
    Number of subscribers: 7,063,604
    Kabita Kitchen dataset:
    Dataset characteristics: Multivariate
    Number of instances: 4900
    Area: Cooking
    Attribute characteristics: Real
    Number of attributes: 3
    Date donated: March, 2019
    Associate tasks: Classification
    Missing values: Null
    Number of subscribers: 4,867,502

    There are two separate datasets file of each channel. The files with preprocessing names are generated after doing the preprocessing and exploratory data analysis on both the datasets. This file includes:
    a€¢ Id
    a€¢ Comment text
    a€¢ Labels
    a€¢ Count of stop-words
    a€¢ Uppercase words
    a€¢ Hashtags
    a€¢ Word count
    a€¢ Char count
    a€¢ Average words
    a€¢ Numeric

    The main file includes:
    a€¢ Id
    a€¢ comment text
    a€¢ Labels


    Attribute Information:

    Provide information about each attribute in your data set.


    Relevant Papers:

    Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach
    [Web link]



    Citation Request:

    If you are using the data. Please cite the paper.

    Bibtex reference

    @Article{bdcc3030037,
    AUTHOR = {Kaur, Gagandeep and Kaushik, Abhishek and Sharma, Shubham},
    TITLE = {Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach},
    JOURNAL = {Big Data and Cognitive Computing},
    VOLUME = {3},
    YEAR = {2019},
    NUMBER = {3},
    ARTICLE-NUMBER = {37},
    URL = {[Web link]},
    ISSN = {2504-2289},
    ABSTRACT = {The success of Youtube has attracted a lot of users, which results in an increase of the number of comments present on Youtube channels. By analyzing those comments we could provide insight to the Youtubers that would help them to deliver better quality. Youtube is very popular in India. A majority of the population in India speak and write a mixture of two languages known as Hinglish for casual communication on social media. Our study focuses on the sentiment analysis of Hinglish comments on cookery channels. The unsupervised learning technique DBSCAN was employed in our work to find the different patterns in the comments data. We have modelled and evaluated both parametric and non-parametric learning algorithms. Logistic regression with the term frequency vectorizer gave 74.01% accuracy in Nisha Madulika’s dataset and 75.37% accuracy in Kabita’s Kitchen dataset. Each classifier is statistically tested in our study.},
    DOI = {10.3390/bdcc3030037}
    }



    MDPI and ACS Style

    Kaur, G.; Kaushik, A.; Sharma, S. Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach. Big Data Cogn. Comput. 2019, 3, 37.

    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:15 去赚积分?
    • 627浏览
    • 2下载
    • 0点赞
    • 收藏
    • 分享