KNN_Text | Text Classification using Bag of Words and TF-IDF models | Topic Modeling library
kandi X-RAY | KNN_Text Summary
kandi X-RAY | KNN_Text Summary
Text Classification using Bag of Words and TF-IDF models with K-Nearest Neighbor Algorithm
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Top functions reviewed by kandi - BETA
- Creates KNN using TFIDF
- Create tfidf
- Get parser data
- Converts a txt file to csv
- Clean text
- Computes the K - Neighbor Classifier Classifier
- Creates a bag of words
KNN_Text Key Features
KNN_Text Examples and Code Snippets
Community Discussions
Trending Discussions on KNN_Text
QUESTION
I am brand new to python, I am attempting to convert the function I made in R to Python, R function described here:
From my reading it looks like the best way to do this in python would be to use a for loop that would take the following form
...ANSWER
Answered 2018-Jul-19 at 19:08You can use df.apply(my_func, axis=1)
to apply the function/calculation to each row of a dataframe.
Where, my_func would contain the required calculations
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install KNN_Text
You can use KNN_Text like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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