fastText tutorial | Text Classification Using fastText | NLP Tutorial For Beginners - S2 E13

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fastText is a word embedding technique similar to word2vec with one key difference. It uses character n grams instead of words to train a neural network to produce word embeddings or word vectors. In this NLP tutorial, we will do text classification for e-commerce items using fastText library

Exercise: *will be available at some point in next few days after video post*

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#nlppython #nlptutorial #spacytutorialnlp #nlpfasttextclassification #textclassification #fasttext #fasttexttextclassification #fasttextexplained #fasttextclassification #fasttextpythontutorial #fasttextnlptutorial #fasttextexample #fastTexttutorial #wordembeddingsnlp

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Please continue this series with more videos: please introduce RNN, seq2seq, transformers as well

RidwanurRahmanextreme
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hi there, finally i have finished to watch all your nlp playlist and i just have to say THANK YOU. Nice videos and so much info to process yet.

bitacorapersonal
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Thanks Sir for this nice series. Hope there will be more videos in this series.

tanyongsheng
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Hi Dhaval ! @codebasics Please make some end to end videos on NLP. Videos on deployment and working with gpt3 for NLP would be really helpful. Great videos till now. Similar kind of datasets and same categorization problems repeatedly shown in every video.Please show how text can be scrapped and utilized as a test data or some real time NLP applications. Its time to move to a next level now ! Appreciate your efforts. Keep going but this time with something more impactful 💯😊

siddhbhosale
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Nice! When are you going to do topic modeling?

halcyon
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Hi, nice work, could you please explain how to print classification report in this case?

traveldiaries
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can you please tell me why we did not used spacy for preprocessing

rajasaad
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What does the array value associated with the prediction mean?

derrickofori
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Could you please explain why the Precision and Recall are identical 0.9686 at 18:42. What do I need to do to get the accuracy of the model?

brianleung
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Hii Dhaval sir, any suggestions and references for learning RaSa to build chatbot

visheshdesai
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Hi, Nice work you make in your channel👏🏻. I have a question and hope you could have time for it. How would you approach analyzing a conversation between two individuals?

moadtahri
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Hii can u more elaborate on multi classification problems.??


Like having 3 category of product
Example- input--> Nescafe cold coffee
Output-->{ >> cat1 (tea coffee health drink) >>cat2 (coffee) >> cat3 (cold coffee) }

gauravpol
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One video which expanded my knowledge of RegEx, Pandas, ML. It takes 10000 hrs to become an expert or 100 videos from you to become expert.

rajeshji
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How about domain-specific text? Adding vocabulary? It’s been a while without updating this playlist.

pwchan
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@codebasics can you create videp on T5 transformers with real time use cases end to end ??

chinmaybhat
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What about training a model for spacy NER

LluvanN
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Thanks a lot for this clear explanation on how to use fasttext

fuhen
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Hello, in case we have sentence in english and other sentence in french, how we should do? thanks

cyrinenasri
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Hello Sir, I hope you are doing well
'I have done PGDM in Data science from YMCA College in Faridabad and now i am doing a job as a Data Analyst
My Question is [ Is it worth that i will also do MS in Data Science from Chandigarh University Online]
Please reply me i am very confused ?

rohitkaushik
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Thanks for your great work. Quick/simple question, from your code GitHub I'm fine until:
ModuleNotFoundError Traceback (most recent call last)
Cell In[19], line 1
----> 1 import fasttext
3 model =
4 model.test("ecommerce.test")

ModuleNotFoundError: No module named 'fasttext'

EzriBenAmi