Build Text Classification Model Using Sentence Embedding | Sentence Transformers | NLP | Python Code
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- Опубліковано 14 жов 2024
- This is a beginner-friendly, hands-on NLP video. Build Text Classification Model using Sentence Embedding or Sentence Transformers.
Learn how to use Embedding for text classification.
Code: github.com/Pra...
NLP Beginner to Advanced Playlist:
• NLP Beginner to Advanced
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.
LinkedIn: / pradipnichite
#sentencetransformers #sentenceembedding #embedding #nlp #machinelearning #artificialintelligence #datascience#bert #transformers #handson
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Exactly what i was looking for... Thanks alot bro
Welcome 👍
Please complete this playlist very informative videos thanks
Sure I will
Great job Pradip. So you have covered tfidf, count vector, word2vec & sentence transformers. Can you also cover elmo, glove & other word embeddings on same dataset? Thanks.
Will try
Hi Pradip, After having gone through the 3 videos of NLP beginners can I directly move to the other playlist "NLP beginner to advanced" ?
Yes NLP beginner to advanced is main playlist.
Very useful and nicely explained. Keep sharing such invaluable resources 🙂
Thanks a lot 😊
Loving your content sir !!!
Thank You Subhajit
@@FutureSmartAI why the hell did I not find you before sir? Can you share something about how to find a job in this domain as a fresher? Can you guide us? probably through a LinkedIn post or something. 🙏🙏
@@Subhajit_311 I think the best way to get a job as a fresher is to build a portfolio. Pickup any dataset and do an end-to-end project that you can discuss and share links with me, recruiters or clients.
The project could be anything you can pick up text related datasets from Kaggle, finetune it using transforms deploy it using streamlit or Fast API, and have the demo ready.
Also, can you tell me if it fine to start with your conversation AI playlist? is it independent playlist or has any pre requisites?
Its independent playlist. Basic knowledge of python needed.
Is there a shotcut to pick out the one or two quickly from the 124 models, if no time to try one by one?
They have defaults model which are pretty good.
@@FutureSmartAI Got it. thx
How does google accurately highlight the relevant content according to the user's input in google search? If it's not their own trick, how we can do it with our own domain datasets? Thx
In two days, I will be releasing a video on Semantic Search (on own docs) + GPT-3 Qna.
@@FutureSmartAI looking forward to it. thx
Hi! Thanks for your video! But I need some help, please? I want to do an app which i need to classify a document or email where i need to guess what document or email is about with deep learning and I cannot find any thing on internet about it. Can u help me?
You mean topic of email or document? Do you predefined classes? if yes then you can finetuned model like BERT to do custom classification.
if you dont have labled data you can use topic modeling or even model like gpt3, chatGPT etc.
@@FutureSmartAI both, documents and emails. There’re not supervised or no class. But with Bert I can’t do it? What about openai?
thank you how we improve word2vec performance
You can train your own word2vec model on your data.
www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/data
I am using a subset of this dataset. using "comment_text" and "toxic" columns.
Hi Pradip, you are doing a great job, for the raw dataset how can we classfiy data w.r.t categories, like mro or computer equipment or some other categories, can you share your mail id or number so that we can discuss
Hi, If you have labeled data for those classes, you can train or finetune the model. You can use zero-shot learning if you don't have label data for your use case.
ua-cam.com/video/PH_eb1udpew/v-deo.html