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

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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Comments
  • Bump nltk from 3.5 to 3.6.5

    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
    • Additional commits viewable in compare view

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