Essay Summarizer
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.summarize_essay(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.
Release files for EssaySummarizer 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| EssaySummarizer-0.0.2.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| EssaySummarizer-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / EssaySummarizer-0.0.2.tar.gz
| Download URL | EssaySummarizer-0.0.2.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.7
|
Release files / EssaySummarizer-0.0.2-py3-none-any.whl
| Download URL | EssaySummarizer-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.7
|