Extracting sentiment, entities, and key phrases from text with Amazon Comprehend | NLP | Python

This video demonstrates how to use the Amazon Comprehend service to detect sentiment and extract entities and key phrases from the text.

NLP Beginner to Advanced Playlist:

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.

#nlp #aws #AmazonComprehend

[cCcs]

Hi Pradip, I just tried out quickly the comprehend-service for a quick sentiment analysis and wondered if I did sth wrong - the ability for aspect-based sentiment analysis seems poor and not state-of-the-art at all: In my test phrase "The lectures were great, however, the professors could be more competent." the service rated both entities lectures and professors as positive. However, professors should be clearly rated as negative. Would you confirm this? Thanks & Greetings

[muhammadtalmeez]

But this is a paid service we can't use this for every client. Am I right?

[Gee]

There's no sentiment analysis here.

[paologazzola]

your audio is horrible. But video is useful.