Skip to main content

Essay Summarizer.

Project description

Essay Summarizer

forthebadge made-with-python
Python 3.6

Discription

EssaySummarizer is a powerful and user-friendly Python package designed to facilitate the summarization of large essays or text documents. Leveraging Natural Language Processing (NLP) techniques, EssaySummarizer aims to condense lengthy texts while ensuring grammatical correctness. The package utilizes the NLTK (Natural Language Toolkit) library, which provides a wide range of NLP functionalities. It leverages techniques such as tokenization, stop word removal, lemmatization, and sentence scoring to extract the most relevant information from the essay.

Usage

  • Make sure you have Python installed in your system.
  • Run Following command in the Terminal.
 pip install EssaySummarizer

Example

# test.py
import EssaySummarizer

## To run

sentence = EssaySummarizer.play_game(essay,num_sentences) # default num_sentences=3

print(sentence)

Run the following Script.

 python test.py

Note

  • I have tried to implement all the functionality, it might have some bugs also. Ignore that or please try to solve that bug.

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

EssaySummarizer-0.0.1.tar.gz (3.3 kB view details)

Uploaded Source

Built Distribution

EssaySummarizer-0.0.1-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file EssaySummarizer-0.0.1.tar.gz.

File metadata

  • Download URL: EssaySummarizer-0.0.1.tar.gz
  • Upload date:
  • Size: 3.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for EssaySummarizer-0.0.1.tar.gz
Algorithm Hash digest
SHA256 66c49f7c06ec4fead767cd4c8eca516d2b5e9cf6c1a56368ab04ef146df1f1d1
MD5 41e097f8271c15b0d3a9b6990ebf6635
BLAKE2b-256 b5f6803c32581a8c7afbc064ae00bec92c99107cdf5d08fb0b7cf809d1496a5a

See more details on using hashes here.

Provenance

File details

Details for the file EssaySummarizer-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for EssaySummarizer-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b7de6c00374a29b9936e863f857ec0df16b4a719e13b9993eb41fe829a18938a
MD5 4a2db5aec813ee144f5072aba80987c6
BLAKE2b-256 75d123ac8b49b7fef4c3647d568dee8e60fd015dfb814b6c1f246a60c034ede0

See more details on using hashes here.

Provenance

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