• Megha Singla
• Brahmaleen K.Sidhu

In current era there are various applications related to social media or it may be related to certain large organization that are producing large amount of data. This data can be text data, images, videos etc. For any processing engine it will be very difficult to store and process the data generated from various sources. Text classification is one such solution to reduce the problem of the size of the text. It can be considered as the automatic way of classifying the text data into multiple classes. Each class of the text will be having single type of information. For any processing engine such as sentiment analyzer, it will be very easy to process single type of data for identification of the sentiment of the text data. There are various techniques and tools that are being used for the text classification. Each technique followed by the researcher has its own set of drawbacks and advantages. These require large amount of further research on the text classification for increasing the success rate.

text classification, indexing, dataset of news

" A Review on different classification techniques for text classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.166-170, June 2019, Available :http://www.jetir.org/papers/JETIR1906Z24.pdf

" A Review on different classification techniques for text classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp166-170, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Z24.pdf