topic-modelling | Workshop on Topic Modelling | Topic Modeling library

 by   bonzanini Jupyter Notebook Version: Current License: No License

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kandi X-RAY | topic-modelling Summary

kandi X-RAY | topic-modelling Summary

topic-modelling is a Jupyter Notebook library typically used in Artificial Intelligence, Topic Modeling applications. topic-modelling has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This repository contains code examples for the workshop What are they talking about? Mining topics in documents with topic modelling and Python.
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            kandi-support Support

              topic-modelling has a low active ecosystem.
              It has 7 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              topic-modelling has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of topic-modelling is current.

            kandi-Quality Quality

              topic-modelling has 0 bugs and 0 code smells.

            kandi-Security Security

              topic-modelling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              topic-modelling code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              topic-modelling 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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              topic-modelling releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            topic-modelling Key Features

            No Key Features are available at this moment for topic-modelling.

            topic-modelling Examples and Code Snippets

            No Code Snippets are available at this moment for topic-modelling.

            Community Discussions

            Trending Discussions on topic-modelling

            scatter plot color bar does not look right
            python json key became string not int
            Convert from dfm to dtm
            'numpy.int64' object is not iterable when using latent dirichlet allocation
            Pandas astype() error in Power BI but not in Jupyter Notebook

            QUESTION

            scatter plot color bar does not look right
            Asked 2022-Mar-24 at 22:20

            I have written my code to create a scatter plot with a color bar on the right. But the color bar does not look right, in the sense that the color is too light to be mapped to the actual color used in the plot. I am not sure what is missing or wrong here. But I am hoping to get something similar to what's shown here: https://medium.com/@juliansteam/what-bert-topic-modelling-reveal-about-the-2021-unrest-in-south-africa-d0d15629a9b4 (about in the middle of the page)

            ...

            ANSWER

            Answered 2022-Mar-24 at 22:20

            The colorbar uses the given alpha=.3. In the scatterplot, many dots with the same color are superimposed, causing them to look brighter than a single dot.

            One way to tackle this, is to create a ScalarMappable object to be used by the colorbar, taking the colormap and the norm of the scatter plot (but not its alpha). Note that simply changing the alpha of the scatter object (scatter.set_alpha(1)) would also change the plot itself.

            Source https://stackoverflow.com/questions/71608280

            QUESTION

            python json key became string not int
            Asked 2021-Oct-04 at 04:26

            So I have a data in json file which i never worked before.When I load and try print the data by index like print(data[0]) I got and warning

            ...

            ANSWER

            Answered 2021-Oct-04 at 04:19

            This is expected behaviour. In JSON, object keys are always strings. The integer 0 is not a valid key. Integers are only valid for accessing JSON arrays.

            Source https://stackoverflow.com/questions/69430839

            QUESTION

            Convert from dfm to dtm
            Asked 2021-Apr-17 at 19:26

            I try to use the coherence metric calculation as reported [here][1].

            I work with quanteda so I have a dfm

            However in the link the use a dtm: #create DTM

            ...

            ANSWER

            Answered 2021-Apr-17 at 19:26

            You want convert(). e.g.

            Source https://stackoverflow.com/questions/67141516

            QUESTION

            'numpy.int64' object is not iterable when using latent dirichlet allocation
            Asked 2021-Mar-23 at 15:34

            I am trying to apply the latent dirichlet allocation algorithm to a .csv file retrieved from twitter data.

            Currently I run across the error:

            ...

            ANSWER

            Answered 2021-Feb-24 at 20:45

            I believe you want to select the top 10 words and you are using a wrong syntax. You are only selecting the word ranked 10 which is not iterable. Change line 261 to this to select the top 10 instead of only selecting the 10th:

            Source https://stackoverflow.com/questions/66358528

            QUESTION

            Pandas astype() error in Power BI but not in Jupyter Notebook
            Asked 2020-Jul-30 at 21:49

            I have the following topic modelling script to assign topic categories to a variety of documents. The documents are imported through Power BI via df = dataset['Comment']

            ...

            ANSWER

            Answered 2020-Jul-30 at 21:49

            The issue is related to the way datasets are imported in the Power BI Query Editor using Python. To fix the issue, import the data via:

            Source https://stackoverflow.com/questions/62997013

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

            Vulnerabilities

            No vulnerabilities reported

            Install topic-modelling

            You can download it from GitHub.

            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:

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