NewsClassifier | 北邮数据挖掘课大作业 -

 by   ZoeShaw101 Python Version: Current License: No License

kandi X-RAY | NewsClassifier Summary

kandi X-RAY | NewsClassifier Summary

NewsClassifier is a Python library. NewsClassifier has no bugs, it has no vulnerabilities and it has low support. However NewsClassifier build file is not available. You can download it from GitHub.

NewsClassifier
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              NewsClassifier has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 3 watchers for this library.
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              It had no major release in the last 6 months.
              NewsClassifier has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of NewsClassifier is current.

            kandi-Quality Quality

              NewsClassifier has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

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              NewsClassifier releases are not available. You will need to build from source code and install.
              NewsClassifier 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 NewsClassifier and discovered the below as its top functions. This is intended to give you an instant insight into NewsClassifier implemented functionality, and help decide if they suit your requirements.
            • compute the chi - squared test for each word
            • Catch reports .
            • Splits the training data .
            • process all articles
            • catch all tech links
            • Get the Chinese name of a kind .
            • catch all assets
            • takes a list of links in the browser
            • Get all available movies
            • catch all art content
            Get all kandi verified functions for this library.

            NewsClassifier Key Features

            No Key Features are available at this moment for NewsClassifier.

            NewsClassifier Examples and Code Snippets

            No Code Snippets are available at this moment for NewsClassifier.

            Community Discussions

            Trending Discussions on NewsClassifier

            QUESTION

            Multiclass text classification with python and nltk
            Asked 2019-Oct-10 at 06:35

            I am given a task of classifying a given news text data into one of the following 5 categories - Business, Sports, Entertainment, Tech and Politics

            About the data I am using:
            Consists of text data labeled as one of the 5 types of news statement (Bcc news data)

            I am currently using NLP with nltk module to calculate the frequency distribution of every word in the training data with respect to each category(except the stopwords).

            Then I classify the new data by calculating the sum of weights of all the words with respect to each of those 5 categories. The class with the most weight is returned as the output.

            Heres the actual code.

            This algorithm does predict new data accurately but I am interested to know about some other simple algorithms that I can implement to achieve better results. I have used Naive Bayes algorithm to classify data into two classes (spam or not spam etc) and would like to know how to implement it for multiclass classification if it is a feasible solution.

            Thank you.

            ...

            ANSWER

            Answered 2019-Oct-10 at 06:35

            Since your dealing with words I would propose word embedding, that gives more insights into relationship/meaning of words W.R.T your dataset, thus much better classifications.

            If you are looking for other implementations of classification you check my sample codes here , these models from scikit-learn can easily handle multiclasses, take a look here at documentation of scikit-learn.

            If you want a framework around these classification that is easy to use you can check out my rasa-nlu, it uses spacy_sklearn model, sample implementation code is here. All you have to do is to prepare the dataset in a given format and just train the model.

            if you want more intelligence then you can check out my keras implementation here, it uses CNN for text classification.

            Hope this helps.

            Source https://stackoverflow.com/questions/47559727

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

            Vulnerabilities

            No vulnerabilities reported

            Install NewsClassifier

            You can download it from GitHub.
            You can use NewsClassifier 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 .
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            gh repo clone ZoeShaw101/NewsClassifier

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            git@github.com:ZoeShaw101/NewsClassifier.git

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