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Paper Details
Paper Title
Article Comment Classifier
Authors
Mohit Sharma
Abstract
The project aims to develop an article comment classifier system by the use of machine learning techniques. An article comment classifier takes all the comments from an article and filters out the spam comments only showing high quality and genuine comments in a format readable by both websites and apps(API). We intend to train a classifier on a training set and apply it on a test set i.e. comments provided by users and then predicting the labels and producing the desired output. We will be using a Supervised machine learning algorithm and Multinomial Naive Bayes for prediction.
Keywords- Machine Learning, Classification, Spam detection, Data Prediction, Websites, APIs, comments
Publication Details
Unique Identification Number - IJEDR2002003Page Number(s) - 8-11Pubished in - Volume 8 | Issue 2 | June 2020DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Mohit Sharma, "Article Comment Classifier", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 2, pp.8-11, June 2020, Available at :http://www.ijedr.org/papers/IJEDR2002003.pdf
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