Lemmatizing – Natural Language Processing With Python and NLTK p.8




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A very similar operation to stemming is called lemmatizing. The major difference between these is, as you saw earlier, stemming can often create non-existent words.

So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary.

A root lemma, on the other hand, is a real word. Many times, you will wind up with a very similar word, but sometimes, you will wind up with a completely different word.

sample code: http://pythonprogramming.net
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https://twitter.com/sentdex
http://sentdex.com
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Comment List

  • sentdex
    December 13, 2020

    I know I'm pointing out something you worked hard at and you already know this.

    Almost EVERY time I search for something in Python etc, you come up with a very useful video in the search results.

    I write code that helps people. I bet a lot of others here do too. And you help us. I can't even imagine how many people you're ultimately helping with your videos.

    Thanks man.

  • sentdex
    December 13, 2020

    As Always your series is amazing. Chugging along here. Going to code alongside all of them! Thanks Harrison!

  • sentdex
    December 13, 2020

    Why is it not working for Malayalam?

  • sentdex
    December 13, 2020

    Para quem está assistindo do Brasil, e deseja fazer a lematização em português é necessário saber que a NLTK ainda não possui suporte. Entretanto, o módulo spacy já consegue fazer (de forma rudimentar) este processo.

  • sentdex
    December 13, 2020

    Please can you explain how can i apply it to a list of words?

  • sentdex
    December 13, 2020

    This shows us lemmatising but doesn't tell us what it exactly is nor how it exactly works. Very low-effort tutorial.

  • sentdex
    December 13, 2020

    so when you say lemmatizer.lemmatize("better",pos="a")

    the pos means that you are expecting an output that is in the parts of speech of an adjective right? PLEASE ANSWER MEEEEEEEEEEEEEEEEEE <3 THANKS

  • sentdex
    December 13, 2020

    can I ask? what the lemmas mean?

  • sentdex
    December 13, 2020

    If there will be "Cats" instead of "cats" then it will not lemmatize those?. It actually didn't work for me. Does anyone have any Idea about capital letters?

  • sentdex
    December 13, 2020

    who are the different variable can we give to ==> pos = " "

  • sentdex
    December 13, 2020

    Why that noise at the intro 😀

  • sentdex
    December 13, 2020

    Hi,
    I have been watching all ur nltk videos. It was really helpful. Going in an order and feeling confident with the topics.
    Thank you so much.

  • sentdex
    December 13, 2020

    I want to combine lemmatizing with part of speech dynamically. Below is a piece of code that I tried.
    words = word_tokenize(sentence)
    tagged_word = nltk.pos_tag(words)
    for word in tagged_word:
    print(word[0] + " " + word[1])
    lemmatizer.lemmatize(word[0],pos = word[1])

    But it doesn't except NNP,NN etc as a parameter. How do you pass the type of speech dynamically

  • sentdex
    December 13, 2020

    your videos are very helpful, I'm wondering is there any tutorial you made or recommended resources for paraphrasing ?

  • sentdex
    December 13, 2020

    ¿what can i use for others languages like Spanish?
    I download a file with a lot of words and I created a dict but for sure it's a better way.
    Thanks!!

  • sentdex
    December 13, 2020

    Why does lemmatizing a word like "riding" result in "rid", and not "ride"?

  • sentdex
    December 13, 2020

    Hey,bung. I want to ask something. What file is lemmatize() using which this function can change from word cats to cat ???
    Can I add my own word??? For example I want to change from word 'Aku' to 'Saya'. I am Indonesian's people.

  • sentdex
    December 13, 2020

    How to apply lemmatization on a .txt file which has been imported? in python file?

  • sentdex
    December 13, 2020

    ¿what can i use for others languages like Spanish?

  • sentdex
    December 13, 2020

    Sir, should I always use Lemmatization instead of Stemming? Why?Why not?

  • sentdex
    December 13, 2020

    how do we lemmatize a file ?

  • sentdex
    December 13, 2020

    How can I lemmatize a list of tokenized words in an efficient manner? For loop and lemmatize each word individually?

  • sentdex
    December 13, 2020

    Learn ipython, srsly. It is pain to see how you have to open and close additional windows over and over again.

  • sentdex
    December 13, 2020

    I have watched all of your videos on NLTK and wanted to thank you. I'm not sure but is there a way to create a frequency list of tokens for larger corpora?

  • sentdex
    December 13, 2020

    Hello
    I tried the same example as follows:
    from nltk.stem import WordNetLemmatizer
    lemmatizer = WordNetLemmatizer
    print (lemmatizer.lemmatize(    "better"))

    TypeError: lemmatize() missing 1 required positional argument: 'word'

  • sentdex
    December 13, 2020

    Thanks for the videos. One doubt is that so how do I know which POS I should apply to which word during lemmatization?

    e.g. If a text contains 500 words and I want to lemmatize it to get the root word of all the words in an automated manner, then what should be the approach?

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