KNN_Text | Text Classification using Bag of Words and TF-IDF models | Topic Modeling library

 by   cjscholl Python Version: Current License: No License

kandi X-RAY | KNN_Text Summary

kandi X-RAY | KNN_Text Summary

KNN_Text is a Python library typically used in Artificial Intelligence, Topic Modeling applications. KNN_Text has no bugs, it has no vulnerabilities and it has low support. However KNN_Text build file is not available. You can download it from GitHub.

Text Classification using Bag of Words and TF-IDF models with K-Nearest Neighbor Algorithm
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              KNN_Text has a low active ecosystem.
              It has 8 star(s) with 2 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              KNN_Text has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of KNN_Text is current.

            kandi-Quality Quality

              KNN_Text has no bugs reported.

            kandi-Security Security

              KNN_Text has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              KNN_Text does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              KNN_Text releases are not available. You will need to build from source code and install.
              KNN_Text has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed KNN_Text and discovered the below as its top functions. This is intended to give you an instant insight into KNN_Text implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            KNN_Text Key Features

            No Key Features are available at this moment for KNN_Text.

            KNN_Text Examples and Code Snippets

            No Code Snippets are available at this moment for KNN_Text.

            Community Discussions

            QUESTION

            How to do a calculation on each line of a pandas dataframe in python?
            Asked 2018-Jul-19 at 19:08

            I am brand new to python, I am attempting to convert the function I made in R to Python, R function described here:

            How to optimize this process?

            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 19:08

            You 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

            Source https://stackoverflow.com/questions/51430132

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install KNN_Text

            You can download it from GitHub.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/cjscholl/KNN_Text.git

          • CLI

            gh repo clone cjscholl/KNN_Text

          • sshUrl

            git@github.com:cjscholl/KNN_Text.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Topic Modeling Libraries

            gensim

            by RaRe-Technologies

            Familia

            by baidu

            BERTopic

            by MaartenGr

            Top2Vec

            by ddangelov

            lda

            by lda-project

            Try Top Libraries by cjscholl

            OldWebsite

            by cjschollJavaScript

            cso-market-analysis

            by cjschollJava

            team-feud

            by cjschollJavaScript