Build Text Classification Model using Word2Vec | Gensim | NLP | Python | Code

preview_player
Показать описание
This is a beginner-friendly, hands-on NLP video. Build Text Classification Model using word2vec.
Learn how to use the word2vec feature for text classification.

NLP Beginner to Advanced Playlist:

I am a Freelance Data Scientist working on Natural Language Processing (NLP) and building end-to-end NLP applications.

I have over 7 years of experience in the industry, including as a Lead Data Scientist at Oracle, where I worked on NLP and MLOps.

I Share Practical hands-on tutorials on NLP and Bite-sized information and knowledge related to Artificial Intelligence.

#word2vec #nlp #machinelearning #artificialintelligence #datascience#bert #transformers #handson
Рекомендации по теме
Комментарии
Автор

📌 Hey everyone! Enjoying these NLP tutorials? Check out my other project, AI Demos, for quick 1-2 min AI tool demos! 🤖🚀

We aim to educate and inform you about AI's incredible possibilities. Don't miss our AI Demos YouTube channel and website for amazing demos!
Subscribe to AI Demos and explore the future of AI with us!

FutureSmartAI
Автор

This channel is a gem. How did I not find it before ?😔😔😔

Partha_
Автор

@FutureSmartAI,
If you can clarify the sent_vec method that we have used here in this note book.
wv_res:-it is an np array of zeros of 300 D
In 1st itration if a word is available in wv, it will take all those vectors of 300 D, divide by 2, as ctr here is incremented by 1
So in a sentence 'this is a dog'
vectors of "this" will be divided by 2,
vectors of "is" will be divided by 3,
vectors of "a" will be divided by 4,
vectors of "dog" will be divided by 5,
Is it what you are trying to do in this function.

kaveriparida
Автор

Did excellent job ....thanx A lottt ...kindly do about Doc2vec as well....plz

laibakhan
Автор

God bless you for this. My question is, which of the methods of word2vec did you use. cBOW or Skip-gram. Also how do we implement the tf-idf averaging

akwagaiusakwajunior
Автор

Just wondering: isnt the sent_vec function wrong when it start ctr at 1? Shouldnt it start at 0 and then count up if words are in the wv?

friederikebauer
Автор

hey Thank you Pradip!

would be great to compare tf-idf vs self trained word2vec,
Thanks again!

moonisali
Автор

hello! my project is about resume ranking, how can i use word2vec in my project, please reply.

knot
Автор

hello Sir, What if I don't have label column and I want to make this task totally unsupervised?

currentactivities
Автор

Sir, please make a video on Creating a context vector from word vectors

riyazabdulla
Автор

Bro wv is not defined aisa error aa raha hain

pratiksonawale
Автор

Any idea how to work around this error:
ContentTooShortError: <urlopen error retrieval incomplete: got only 45501952 out of 109885004 bytes>

Getting this error when I run this code:
wv = api.load('glove-twitter-25')

Any help is much appreciated! Thanks!

kamranhashmi