This summarization techniques in relation to Machine Learning is being used by a lot of companies. Some of the use cases are in the feedback that companies get from the customer. It is also used by NEWS media and magazines to show the excerpt of the article.

Here we will be using a python module called NLTK – Natural Language ToolKit to make the summarizer. If you are interested in data analytics or learning it, then I am sure you will be using NLP (Natural Language Processing) a lot.

Steps Used To Build Summarizer

• Import NLTK Python Modules
• Remove stop words for the analysis
• Create a frequency table of words – how many times each word appears in the text
• Assign a score to each sentence depending on the words it contains and the frequency table
• Build summary by adding every sentence above a certain score threshold

You can read the article in depth at my blog below:

Text Summarizer using NLTK Module in Python 3 - InstaCodeBlog

#python #machine-learning #nlp #nltk #instacodeblog