AvgWord2vec Indepth Intuition And Practical Implementation

Рет қаралды 14,642

Күн бұрын

Пікірлер: 17

@ashishsaman Ай бұрын

@krish_naik One correction is necessary at 8:59. Wordnet Lemmatizer doesn't work without POS tags. It treats everything as a noun if POS tags are not in place. and nouns aren't lemmatized. So to perform lemmatization, POS tagging is mandatory.

@adeyinkasotunde6870 Жыл бұрын

Super amazing. Woow..... This is another fastest way to get things done with better accuracy. Thanks @Krish Naik

@soniasimran5426 Жыл бұрын

Sir your teaching way is so excellent. ❤ Please also make the videos on transfer learning BERT, Distilbert implementation

@priyam66 Жыл бұрын

whoever is getting an error running the avg_word2vec function, following code can be used instead: def avg_word2vec(doc): vocab=model.wv.vocab.keys() return np.mean([model.wv[word] for word in doc if word in vocab],axis=0)

@pec8377 Жыл бұрын

Watch ! As you use your full dataset to build your corpus, you are sure all the words will be in the corpus, but if you provide a new sentence it may have some words not in the corpus.. or all the words outside of the corpus, in wich case KABOOM, your average function will generate some warning, and you won't be able to build a df as all the average can not be generated

@ankushgarg2104 Жыл бұрын

Hi @krish Nail you train the output feature too while training the model, U can correct that part.

@ammaarkhan1856 Жыл бұрын

Yes, I was thinking the same thing. the output column is part of the X_train data-frame which is then fed to the model.

@SunilKumar-wh6ph 4 ай бұрын

Which Python version will be required for the gensim library?

@ravulapallivenkatagurnadha9605 Жыл бұрын

Great Teaching

@AI_Adhyayana Жыл бұрын

hi Krish, how to go about cbow and skimgram . can you please provide eg code for each

@shiri_miri98 8 ай бұрын

Whoever is getting an error with getting final independent features can use this ``` dfs = [pd.DataFrame(X[i].reshape(1, -1)) for i in range(len(X))] df = pd.concat(dfs, ignore_index=True) ```

@asim-turivlogs 11 ай бұрын

Thanks for you nice presentation and demo Krish. I have one question. In the tutorial you were saying that the window size would a single word vector dimention. But While training the word2vec from scratch, when you press Tab+Shift, It was saying window size=5, and vector dimention is 100. Is it not a confusion.

@karthikgames7480 Жыл бұрын

Hi , ur channel is help lot , I'm complete Ms(Quantitative finance) and little knowledge on Data science but now I'm working photo shop how to become get chance job in DS. Any suggestions.