A Complete(ish) Guide to Python Tools You Can Use To Analyse Text Data

Written by neptuneAI_jakub | Published 2020/03/23
Tech Story Tags: machine-learning | natural-language-processing | data-science | python | python-programming | programming | nlp | data-analysis

TLDR In this article, we will use a million news headlines dataset from Kaggle. The number of words in news headlines ranges from 2 to 12 and mostly falls between 5 to 7 words. Stopwords are the words that are most commonly used in any language such as “the”,” “in” and “for” dominate in headlines. We will use the counter function from the collections library to count and store and store occurrences of each word in a list of tuples.via the TL;DR App
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Written by neptuneAI_jakub | Senior data scientist building experiment tracking tools for ML projects at https://neptune.ai
Published by HackerNoon on 2020/03/23
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