Youtube cookery channels viewers comments in Hinglish

<p>The data was collected from the famous cookery Youtube channels in India. The major focus was to collect the viewers&#39; comments in Hinglish languages.&nbsp;The datasets are taken from top 2 Indian cooking channel named Nisha Madhulika channel and Kabita&rsquo;s&nbsp; Kitchen channel.</p> <p>Both the datasets comments are divided into seven categories:-</p> <p>Label 1- Gratitude</p> <p>Label 2- About the recipe</p> <p>Label 3- About the video</p> <p>Label 4- Praising</p> <p>Label 5- Hybrid</p> <p>Label 6- Undefined</p> <p>Label 7- Suggestions and queries</p> <p>All the labelling has been done manually.</p> <p>&nbsp;</p> <p><strong>Nisha Madhulika dataset:</strong></p> <p><strong>Dataset characteristics: Multivariate</strong></p> <p><strong>Number of instances: 4900</strong></p> <p><strong>Area: Cooking </strong></p> <p><strong>Attribute characteristics: Real</strong></p> <p><strong>Number of attributes: 3</strong></p> <p><strong>Date donated: March, 2019</strong></p> <p><strong>Associate tasks: Classification</strong></p> <p><strong>Missing values: Null</strong></p> <p>&nbsp;</p> <p><strong>Kabita Kitchen dataset:</strong></p> <p><strong>Dataset characteristics: Multivariate</strong></p> <p><strong>Number of instances: 4900</strong></p> <p><strong>Area: Cooking </strong></p> <p><strong>Attribute characteristics: Real</strong></p> <p><strong>Number of attributes: 3</strong></p> <p><strong>Date donated: March, 2019</strong></p> <p><strong>Associate tasks: Classification</strong></p> <p><strong>Missing values: Null</strong></p> <p>&nbsp;</p> <p>There are two separate datasets file of each channel named as preprocessing and main file .</p> <p>The files with preprocessing names are generated after doing the preprocessing and exploratory data analysis on both the datasets. This file includes:</p> <ul> <li>&nbsp;Id</li> <li>Comment text</li> <li>Labels</li> </ul> <ul> <li>Count of stop-words</li> <li>Uppercase words</li> <li>Hashtags</li> <li>Word count</li> <li>Char count</li> <li>Average words</li> <li>Numeric</li> </ul> <p>&nbsp;</p> <p>The main file includes:</p> <ul> <li>Id</li> <li>comment text</li> <li>Labels</li> </ul> <p>Please cite the paper</p> <p>https://www.mdpi.com/2504-2289/3/3/37</p> <p>&nbsp;</p> <p><strong>MDPI and ACS Style</strong></p> <p>Kaur, G.; Kaushik, A.; Sharma, S. Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach. <em>Big Data Cogn. Comput.</em> <strong>2019</strong>, <em>3</em>, 37.</p>