Ads Classification In Machine Learning

You know much we all love internet. We connect, learn and have fun through this window to the world. It's nearly free and is become more and more a community thing.

However, just like we take care of our communities, we need to keep internet clean an fresh, One of the things you all might have come across is random comments and remarks on articles, blogs, videos. While everyone is free to do what they want, random and unwanted ads take the experience away.

In this dataset we have 5 topics on which people commented. A lot of them were advertisements, When a article becomes popular, and draws people it also draws these unwanted adverts in comments.

Your task is to predict whether a comments is an advertisement or not.

Import the dataset and most of the things are self-explanatory. However, here's the feature set.

Your task is to predict whether a comment is an advertisement or not.

Import the dataset and most of thing are self-explanatory. However, here's the feature set.

Variable Description

COMMENT_ID ID column

AUTHOR name of person commenting

DATE data of comment

CONTENT Textual content of the comment

CLASS Whether the comment was ad(1) or not(0)

Evaluation Metric

Score are evaluated based on roc_auc_score evaluation metric.

Data set can be download through below link:

https://github.com/Realcode4you/Datasets.git

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