pDMM | Python implemetation for Dirichlet Multinomial Mixture | Topic Modeling library

 by   atefm Python Version: Current License: No License

kandi X-RAY | pDMM Summary

kandi X-RAY | pDMM Summary

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

Applying topic models for short texts (e.g. Tweets) is more challenging because of data sparsity and the limited contexts in such texts. One approach is to combine short texts into long pseudo-documents before training LDA. Another approach is to assume that there is only one topic per document [3]. pDMM provides implementations of the one-topic-per-document Dirichlet Multinomial Mixture (DMM) model (i.e. mixture of unigrams) [1][4]. Bug reports, comments and suggestions about pDMM are highly appreciated. As a free open-source package, pDMM is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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              pDMM has a low active ecosystem.
              It has 38 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pDMM is current.

            kandi-Quality Quality

              pDMM has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              pDMM 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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              pDMM releases are not available. You will need to build from source code and install.
              pDMM has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pDMM and discovered the below as its top functions. This is intended to give you an instant insight into pDMM implemented functionality, and help decide if they suit your requirements.
            • Samples the given number of iterations
            • Assign a document to a topic
            • Unassign a document from a topic
            • Sample a random number from the cumulative weight distribution
            • Sample from the corpus
            • Updates the topic weights for a document
            • Construct WordList from a file
            • Create a WordList from an iterable of iterables
            • Return the ID for a given word
            • Saves the top words to a file
            • Return the word associated with the given ID
            • Get the top words of a topic
            • Load a vocabulary from a file
            • Adds a new word to the vocabulary
            • Save document topic assignments to a file
            • Create a vocabulary from a list of words
            • Parse arguments
            Get all kandi verified functions for this library.

            pDMM Key Features

            No Key Features are available at this moment for pDMM.

            pDMM Examples and Code Snippets

            No Code Snippets are available at this moment for pDMM.

            Community Discussions

            QUESTION

            How to make a specified xml format file
            Asked 2019-May-13 at 03:12

            I'm totally new to C#. I have to write a xml file which similarly looks like.

            ...

            ANSWER

            Answered 2019-May-10 at 11:29

            In your C# classes you can add attributes to your member variables that will change how XmlSerializer will behave. For example, the following will make the SampleID be serialised as an attribute rather than an element:

            Source https://stackoverflow.com/questions/56076592

            QUESTION

            read the text file column wise from specify line using console application c#
            Asked 2019-May-08 at 13:40

            I have a text file

            ...

            ANSWER

            Answered 2019-May-08 at 13:40

            First you will have to filter the data.

            You seem to be in luck that the relevant lines all start with a number, and none of the other lines do.

            Source https://stackoverflow.com/questions/56039459

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

            Vulnerabilities

            No vulnerabilities reported

            Install pDMM

            You can download it from GitHub.
            You can use pDMM 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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            CLONE
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            https://github.com/atefm/pDMM.git

          • CLI

            gh repo clone atefm/pDMM

          • sshUrl

            git@github.com:atefm/pDMM.git

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