Skip to main content

Play with text data

Project description

textslack

A text cleaning pipeline to perform text cleaning, along with additional functionalities for sentiment, pos extraction, and word count.

After pip install, please follow the below step to access the functionalities:

  • from textslack import textslack

Below are the key functionalities currently available:

  1. transform(text): normalises and cleans unstructured text
  2. extract_nouns(text): cleans text to keep only nouns
  3. extract_verbs(text): cleans text to keep only verbs
  4. extract_adjectives(text): cleans text to keep only adjectives
  5. extract_adverbs(text): cleans text to keep only adverbs
  6. sentiment(text): returns a string as sentiment
  7. word_occurances(word, text): returns frequency of a word mentioned in the text

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

textslack-0.1.1.tar.gz (2.5 kB view hashes)

Uploaded Source

Built Distribution

textslack-0.1.1-py3-none-any.whl (3.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page