#machinelearning#learningmonkey
In this class, we discuss stop words a data preprocessing method on text data.
Let's take an example and understand stop words.
1) The product has been very good. I had used this cell phone in one of my projects and it worked wonders. I will definitely recommend this to anyone interested in buying.
2) I doubt this phone is a genuine nokia product. The battery panel does not fit properly. The battery fits but the plastic guard on the side opposite contacts is separated once inserting the battery due to poor fit. I am totally disappointed by the purchase.
The above two reviews are taken from our amazon mobile review data set.
The first one is a positive review.
The second one is a negative review.
From the above reviews take the first one. How do we say this is positive feedback?
The words good, wonders, and recommend are used in analyzing review.
The words this, to, and any are not used in analyzing.
The above words are present in both positive and negative reviews.
These types of words we call stop words.
The list of stop words is given in nltk package.
How to download those words and eliminate them from our sentences is given in the coding section.
Stop Words is a Data Preprocessing method for removing words not used for analysis.
This helps in reducing the words from analyzing and also reduce features
Link for data file: [ Ссылка ]
Link for i python notebook: [ Ссылка ]
Link for our website: [ Ссылка ]
Follow us on Facebook @ [ Ссылка ]
Follow us on Instagram @ [ Ссылка ]
Follow us on Twitter @ [ Ссылка ]
Mail us @ learningmonkey01@gmail.com
![](https://i.ytimg.com/vi/c_ukWhQyUmw/maxresdefault.jpg)