#textclassification #nlp #ai
In this video, we will go through the tech report from Cloudera Fast-forward labs on Zero-shot and Few-shot text classification methods in NLP (Natural Language Processing) .

⏩ OUTLINE:
0:00 - Outline and Problem Understanding
01:42 - What is few-shot learning for classification ?
03:15 - Latent Text Embeddings
05:13 - Zero-shot Text Classification Technique
06:48 - Zero-shot Text Classification Results
07:36 - Improved Zero-shot Text Classification Technique
11:16 - Improved Zero-shot Text Classification Results
12:25 - Few-shot Text Classification Technique
14:11 - Few-shot Text Classification Results
15:33 - TIP: Try to name your labels in meaningful representative way.

Tech Report: [ Ссылка ]
By: Cloudera Fast-forward labs

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⏩ IMPORTANT LINKS
Watch some popular research papers in NLP: [ Ссылка ]
Fill-in-the-blanks using Language Models like GPT: [ Ссылка ]
BERT Goes Shopping: Comparing Distributional Models for Product Representations: [ Ссылка ]

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⏩ Youtube - [ Ссылка ]
⏩ LinkedIn - [ Ссылка ]
⏩ Medium - [ Ссылка ]
⏩ GitHub - [ Ссылка ]
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Tools I use for making videos :)
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#techviz #datascienceguy #textprocessing #classification #naturallanguageprocessing #python
About Me:
I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 3 years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).

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