This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Last update: Nov 16, 2021

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Overview

Text Summarizer

This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Team Members

This mini-project was developed for the partial fulfilment of the 4nd year, 7th semester of Bachelor of Technology in *Information Retrival : * by following students:-

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Count the frequency of letters or words in a text file and show a graph.

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This project uses unsupervised machine learning to identify correlations between daily inoculation rates in the USA and twitter sentiment in regards to COVID-19.

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Shirt Bot is a discord bot which uses GPT-3 to generate text

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Uses Google's gTTS module to easily create robo text readin' on command.

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A calibre plugin that generates Word Wise and X-Ray files then sends them to Kindle. Supports KFX, AZW3 and MOBI eBooks. X-Ray supports 18 languages.

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Comments

Bump nltk from 3.5 to 3.6.5
Bumps nltk from 3.5 to 3.6.5.

Changelog

Sourced from nltk's changelog.

Version 3.6.5 2021-10-11

modernised nltk.org website

addressed LGTM.com issues

support ZWJ sequences emoji and skin tone modifer emoji in TweetTokenizer

METEOR evaluation now requires pre-tokenized input

Code linting and type hinting

implement get_refs function for DrtLambdaExpression

Enable automated CoreNLP, Senna, Prover9/Mace4, Megam, MaltParser CI tests

specify minimum regex version that supports regex.Pattern

avoid re.Pattern and regex.Pattern which fail for Python 3.6, 3.7

Thanks to the following contributors to 3.6.5 Tom Aarsen, Saibo Geng, Mohaned Mashaly, Dimitri Papadopoulos, Danny Sepler, Ahmet Yildirim, RnDevelover, yutanakamura

Version 3.6.4 2021-10-01

deprecate nltk.usage(obj) in favor of help(obj)

resolve ReDoS vulnerability in Corpus Reader

solidify performance tests

improve phone number recognition in tweet tokenizer

refactored CISTEM stemmer for German

identify NLTK Team as the author

replace travis badge with github actions badge

add SECURITY.md

Thanks to the following contributors to 3.6.4 Tom Aarsen, Mohaned Mashaly, Dimitri Papadopoulos Orfanos, purificant, Danny Sepler

Version 3.6.3 2021-09-19

Dropped support for Python 3.5

Run CI tests on Windows, too

Moved from Travis CI to GitHub Actions

Code and comment cleanups

Visualize WordNet relation graphs using Graphviz

Fixed large error in METEOR score

Apply isort, pyupgrade, black, added as pre-commit hooks

Prevent debug_decisions in Punkt from throwing IndexError

Resolved ZeroDivisionError in RIBES with dissimilar sentences

Initialize WordNet IC total counts with smoothing value

Fixed AttributeError for Arabic ARLSTem2 stemmer

Many fixes and improvements to lm language model package

Fix bug in nltk.metrics.aline, C_skip = -10

Improvements to TweetTokenizer

Optional show arg for FreqDist.plot, ConditionalFreqDist.plot

edit_distance now computes Damerau-Levenshtein edit-distance

Thanks to the following contributors to 3.6.3 Tom Aarsen, Abhijnan Bajpai, Michael Wayne Goodman, Michał Górny, Maarten ter Huurne,

... (truncated)

Commits

b422364 updates for 3.6.5

03e4b4e Modernised nltk.org website (#2845)

9f468d3 Merge pull request #2851 from DimitriPapadopoulos/lgtm_errors

8ce97b2 Add a unit test, fix typos

2538164 Enhancement: Add ZWJ sequences Emoji and Skin Tone Modifier Emoji support to ...

836b98e Accept pre-tokenized references & hypothesis for METEOR calculation (#2822)

82ceb20 refactor: perfom linting for punkt.py (#2830)

c05b0e7 use latest version of pip (#2846)

6d39c90 Implement get_refs function for DrtLambdaExpression (#2847)

f554129 LGTM.com error: Wrong number of arguments in a class instantiation

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This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Related tags

Overview

Text Summarizer

Team Members

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Comments

Bump nltk from 3.5 to 3.6.5

Owner

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