Text Classification | NLP Lecture 6 | End to End | Average Word2Vec
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- Опубликовано: 22 июл 2024
- Text classification is a vital aspect of Natural Language Processing (NLP) that involves categorizing text into predefined classes or categories. This task is crucial for various applications, such as spam detection, sentiment analysis, topic categorization, and more. In an NLP lecture on text classification, you'll delve into the techniques, algorithms, and methodologies used to teach machines to automatically classify and understand textual data.
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✨ Hashtags✨
#TextClassification #NLP #NaturalLanguageProcessing #MachineLearning #DataScience #TextAnalysis #classificationalgorithms
⌚Time Stamps⌚
00:00 - Intro
1:04 - Plan of Attack
3:34 - What is Text Classification
5:38 - Types of Text Classification
7:34 - Applications
12:36 - The Pipeline
17:56 - Different Approaches
21:32 - Heuristic Approach
23:16 - Using API
27:14 - Using BoW and n-grams
38:58 - Using Tf-Idf
40:44 - Using Word2Vec
48:33 - Practical Advise
Seriously i love ur explanation way..Dil se shukriya bhai aapko..lots of love and respect bhai apko❤🙌
IT WAS AMAZING!!! I LEARNED SO MUCH FROM JUST THIS ONE VIDEO OF YOURS. THANK YOU!!!
sir mai fan hogya aapka mtlb ki mai wait krta hu jb bhi aapka koi naya lecture aata hai ,,i mean the way you teach is phenomenal....
you are the best teacher in this world sir best , teacher ever .........
Thank you sir for these course. Each lecture from you is very comprehensive and easy to understand.
Note:
In between POS tagging lecture is not been uploaded. It was Chapter 4 as you said in the introduction video.
Your videos are helping a lot.
Thanks a lot sir ji😀
❤️❤️You are a great teacher
Nice Video Nitish Sir... Actually we are waiting for complete NLP playlist.
We all know because of Mentorship Program you are too busy, but we just want roadmap of Deep learning for NLP.
So we can move forward with NLP.
Thank you
Sir I have a small doubt It would be great help if you help me in that. I had strucked figuring it out. In word2vec we have 2 vector representation for a word. When word is center word we have one representation and when it is context word we have another representation. Why do we have two vectors?
Very nice explanation sir 👏🥰
you are our jeetu bhaiya !!
Sir, have you provided the "Deep Learning " version of text classification?
i want to ask that what is the conclusion of result...it is showing accuracy of positive or negative reviews?
If my sentiment column had multiple classes insted of binary, would LabelEncoder still work?
Nice Video Nitish Sir... Actually we are waiting for complete NLP playlist.
We all know because of Mentorship Program you are too busy, but we just want roadmap of Deep learning for NLP.
So we can move forward with NLP.
Thank you ❤❤
bhai, Onenote pe likhne ke liye kya use karte ho? purchase link de sakte ho pls?
very informative .
Very informative video. I am new to this field. Sir, as a business/data analyst we validate business rule where in we have some business rules. For now we use sql case to check the completeteness and validity of the business rule. But in future we want to create python code to run the business rule automatically on data to check validity and completeness. Why do we need this, as the business rules for the attribute keep on changing so we just want python code read the rule from server and just tell us the completeness and validity of the attribute. Our business rule are like (must be populated if account in (reatail, saving) and has a lenght of 9 digit). I hope this is possible using nlp. If you have any suggestion please reply
where i can find aws google news vector link?
you havent used the story variable anywhere, why did you calculate it?
how to increase the accuracy please can u make a video on that
21:17 is the part 2 deep learning video out?
How should we reach you ?? We wanted to have mentorship
Absolutely awesome video.
How I can contact with you
Sir LSTM or RNN k videos bhi karo na upload, may be 50%+ logo ko deep learning phle se pta ho
Check in RUclips -- "KGP Taklie" , NLP playlist - LSTM for fake news vedio, concept & code is mentioned .... my rating is 5/5
for RNN you can to watch krish naik NLP playlist vedio (personally i hav'nt watched the vedio)..
Nice Teaching sir
Plz share the link to the codes
LOVE YOU BRO...
Hi Nitish bhai ek video bnaado NER aur topic modelling pe bai bat complex topics hy sir k uprr se jata 😅😅 hy kuki ek interview merse ye poocha aur mei explain nhi kr paya dhngg se and got rejected its a request please🙏🙏
Sir PLZZ 🙏 upload video of xgboost and DBSCAN algorithm and anomaly detection in ml playlist PLZZ 🙏 Sir
Hi Sir! Is Accuracy , Confusion matrix sufficient to judge the NLP classification models? or any other techniques also exists?
F1 score , precision call must
🔥🔥Thankyou sir
thank you so much
Please upload deep learning approach wala video..
sir please complete deep learning playlist please
Sir, the word "not" is also included in the english stopwords list. So do we need to first remove the word "not" from the stopwords list and then perform the stopwords removal step? OR is it fine to simply do the stopword removal as it for sentiment analysis? I have a doubt that the word "not" has the potential to disturb the accuracy of sentiment analysis task. Any Thoughts..?
Depends on the application
Thanks Sir
Sir ml playlist me aur video add kr do
Sir, I have faced problem here while testing the model with first model then with second model . It s giving that the x_test features doesn't match the input features dimension . like 48k for i/p and 28k for test i/p. And the whole lecture is superb
methods are actually different for test and train bow. cv.fit_transform for trainset and just cv.transform for testset.I too got trapped there.
How can we handle imbalanced data in case of Text classification? Maybe machine translation? Or replacing words in the minority classes with synonyms. Any other techniques?
I usually do 'representative sampling'. You have a look at it.
sir plz make a video on BERT . please
33:26 When I'm getting attribute error on running that cv.fit_transform(X_train['review'])
I'm not even able to figure out, please help.
Simply do fit_transform X_train since review is not present in column , after use
1:04 - Plan of Attack
3:34 - What is Text Classification
5:38 - Types of Text Classification
7:34 - Applications
12:36 - The Pipeline
17:56 - Different Approaches
21:32 - Heuristic Approach
23:16 - Using API
27:14 - Using BoW and n-grams
38:58 - Using Tf-Idf
40:44 - Using Word2Vec
48:33 - Practical Advise
Ok thanks
Hello plz make a video on text summarization..... extraction method.
We are waiting for DL part Nitish Sir..Please make videos on how can we use DL for advanced DL.If this is not possible, please make roadmap so we can go with that.
Thank you for efforts ❤❤
Great Job sir ..God bless you...webscrapping ,Tableau, Flask ,Python ye sb B tutorial kijiye ... HINGLISH TUTORIAL ME KHI NHI H..God bless sir to teaching well
Sabke upar already hai. Check the channel
@@campusx-official web scraping ka link dena sir ...Mujhe nhi mila sorry sir
@@descendantsoftheheroes_660 ruclips.net/video/8NOdgjC1988/видео.html
@@campusx-official thanks sir love you 🤗🔥🔥
Sir total kitne lecture hai NLP playlist me ?
4 aur
❤️
sir NLP series ka next video kyu nai aaraha?
Kyuki ml roadmap wala video banane me time nai mila. Iss week aa jaayega
Sir plz provide part 2
Thank you for the amazing videos you are making and thanks for your efforts. I have 1 question, In your code
X_train_bow = cv.fit_transform(X_train['review']).toarray()
X_test_bow = cv.transform(X_test['review']).toarray()
why cv.fit_transform and cv.transform differently used for train and test. I checked it changes the shape but what exactly is the reason. Kindly have a look at my question.
once we fit to the trainset,we will transform the testset using the vocabulary of trainset so that there is dimensional consistency while we input to the GNB model for prediction
Done
24:23, 36:40
X = []
for doc in tqdm(df['review'].values):
X.append(document_vector(doc))
ValueError: need at least one array to concatenate
while running this code for my whole dataset this error is coming can someone help
Sir why do you make noises like chap-chup with tongue and nose. Its irritating.
4 min to bakchodi me waste kr di. Aise me views km ho jate h
Be polite sir. He is teaching quality content for free. He does not owe us anything,
Thank you sir