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How to extract data from paragraph using Machine Learning with python?
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How to extract data from paragraph using Machine Learning with python?
#1
I plan to build a machine learning based system for the final stage of my degree. To do this, analyze an essay someone has written about themselves and output what they like.

For an example -
Phrase: I prefer cold environment.
Output: cold environment

Phrase: I like surfing.
Output: surfing

1.How can I do this?
2.What are the libraries and technologies can use for this?
3.Are there any useful tutorials for this scenario?
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#2
1. This will be work. Have no idea where you are starting, but I assume you know Python.
2. Yes. Several.
3. Yes. This is where you really want to start. I did a series of courses in Coursera to get comfortable with machine learning, DNN, CNN, regressions, etc. I worked hard and could get a course done in about 10 days. Don't get frustrated, and figure that to learn this will take a month or 2. The fact you are asking these questions means you are not ready to do this next week.
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#3
The very first thing you need is data.If you have data or have capability to generate data on your own which can be used for this project.For example It may be dataset containing text in which people mention about liking something and in the labels you ll have the word they like.Just saying doesn't need to be exactly like this.I did my final year project without having proper data source and it really made my project hard.I ll suggest go through natural language processing first and see how texual data is dealt with.
Or here are some amazing projects which i found on medium and can definitely used as a final year projects.Be sure to make some changes and not just copy paste.
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