Tutorial 5: Analyzing text using Python NLTK

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  • Опубликовано: 22 дек 2024

Комментарии •

  • @manojjoshi4321
    @manojjoshi4321 7 лет назад +6

    Excellent...!! No words to appreciate how beautifully and succinctly you were able to communicate the power of NLTK in such a short time. I have seen quite a few other presentations but though they were all good, this one was the most effective. It immediately gives a sense of what NLTK is all about and while watching this, I was able to think a lot of use cases I can use NLTK for. Great job, once again...!! Manoj Joshi

  • @jayabanerjee3007
    @jayabanerjee3007 6 лет назад

    very nice explanation...but where are the previous tutorials.please share the link.........it will be very helpful

  • @schrodingerscat3912
    @schrodingerscat3912 6 лет назад

    Absolutely exquisite bro

  • @LightningMcQueen26
    @LightningMcQueen26 7 лет назад +3

    Superb bro, wonderfully explained, appreciate!

  • @SatishKumar-iw5hg
    @SatishKumar-iw5hg 6 лет назад

    Awesome your explanation is very well
    I am learning NLTK to implement semantic search application
    where can I found your complete tutorial

  • @himdubey3927
    @himdubey3927 7 лет назад

    Awesome explanation and curious to know where are the prior tutorials, i couldn't find them. Can any one please share the links of rest tutorials?

  • @technohubm6014
    @technohubm6014 6 лет назад

    plz can u explain how to do web scraping of social networking sites for popularity of any person,

  • @technohubm6014
    @technohubm6014 6 лет назад

    also explain word sense disambigution by lesk algorithm in nltk

    • @technohubm6014
      @technohubm6014 6 лет назад

      you have really explained wonderfully each and every part of nltk . today I really get idea about nltk thanks

  • @luqmanali4851
    @luqmanali4851 7 лет назад

    well explained, where can i find tutorial 4?

  • @rpattnaik2000
    @rpattnaik2000 7 лет назад

    Wonderful .... Great content

  • @cedric5669
    @cedric5669 7 лет назад

    Well explained, very helpfull