Customer reviews summarization with Seq2Seq architecture and attention | NLP Workshop Capstone

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=buPcCi670lk


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Duration: 5:24
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This video is created by the participants of our NLP workshop. You can create applications like this too; see more details here: https://ai.science

An overview of implementation and deployment of Seq2Seq model with attention mechanism for text summarization. The trained model allows for squeezing a target text to its more compact version which carries the same information and sentiment of that of the target text. Stack used: Tensorflow/Flask/Streamlit/AWS

Team:
https://www.linkedin.com/in/ildar-abdrashitov/
https://www.linkedin.com/in/chrisalert/



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Tags:
deep learning
machine learning
ai
mlops
natural language processing
nlp
deployment
customer feedback analysis