reviewclassification | First technique is a search-based one

 by   adamantmc Java Version: Current License: No License

kandi X-RAY | reviewclassification Summary

kandi X-RAY | reviewclassification Summary

reviewclassification is a Java library. reviewclassification has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

First technique is a search-based one. We search for similar reviews, then add all their scores which are calculated using cosine similarity. If the result is positive, the review is classified as positive and vice versa. Other methods that calculated scores using a sentiment dictionary were slightly worse. Accuracy: 84% - 85%. Second technique is a naive Bayes classifier, with the exception that negative probabilities are given a small value so as to not zero out the total probability. Accuracy: 78% - 80%.
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              reviewclassification has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.
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              It had no major release in the last 6 months.
              reviewclassification has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of reviewclassification is current.

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              reviewclassification has no bugs reported.

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

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              reviewclassification 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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              reviewclassification releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

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            reviewclassification Key Features

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            reviewclassification Examples and Code Snippets

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            Install reviewclassification

            You can download it from GitHub.
            You can use reviewclassification like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the reviewclassification component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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