sentence-similarity | 问题句子相似度计算,即给定客服里用户描述的两句话,用算法来判断是否表示了相同的语义。 | Predictive Analytics library

 by   yanqiangmiffy Python Version: Current License: No License

kandi X-RAY | sentence-similarity Summary

kandi X-RAY | sentence-similarity Summary

sentence-similarity is a Python library typically used in Analytics, Predictive Analytics, Tensorflow, Keras applications. sentence-similarity has no bugs, it has no vulnerabilities and it has high support. However sentence-similarity build file is not available. You can download it from GitHub.

问题句子相似度计算,即给定客服里用户描述的两句话,用算法来判断是否表示了相同的语义。
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            kandi-support Support

              sentence-similarity has a highly active ecosystem.
              It has 319 star(s) with 82 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 1 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of sentence-similarity is current.

            kandi-Quality Quality

              sentence-similarity has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              sentence-similarity 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.

            kandi-Reuse Reuse

              sentence-similarity releases are not available. You will need to build from source code and install.
              sentence-similarity 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 sentence-similarity and discovered the below as its top functions. This is intended to give you an instant insight into sentence-similarity implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Build a BSTM model
            • Draw the training and validation
            • Create a base network
            • Exponential distance
            • Select the best length of the train
            • Build data from training
            • Load pretrained embedding
            • Convert a sequence of data to train features
            • Load the train data table
            • Build an embedding matrix
            • Train word2vec model
            Get all kandi verified functions for this library.

            sentence-similarity Key Features

            No Key Features are available at this moment for sentence-similarity.

            sentence-similarity Examples and Code Snippets

            No Code Snippets are available at this moment for sentence-similarity.

            Community Discussions

            QUESTION

            Output shape of lambda layer not right in Neural Net. How change it?
            Asked 2020-Apr-02 at 07:39

            this is my first question on Stackoverflow, so if I missed somehting please point it out to me. I have a Problem with my Lambda layer using keras and tensorflow 1. In this Lambda layer I am taking a 100-dimensional glove Vector as Input and compute cosine similarity to 8 other vectors (I converted to Tensors previously). As ouput I want the eight resulting cosine similarities as a Tensor (I thought this is necessary in tensorflow?).

            My Problem now is that the shape of the resulting Tensor obviously is (8, 1), but actually I think I Need the Output shape (None, 8). Otherwise it will not match the subsequent layer in my Network which is the Output layer and should Output six class probabilities.

            This is the Code for my custom function I feed into the Lambda layer and took from Sentence similarity using keras:

            ...

            ANSWER

            Answered 2020-Apr-02 at 00:00

            Simply change your cosine computation to a vectorized operation,

            Source https://stackoverflow.com/questions/60967619

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

            Vulnerabilities

            No vulnerabilities reported

            Install sentence-similarity

            You can download it from GitHub.
            You can use sentence-similarity 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 yanqiangmiffy/sentence-similarity

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            git@github.com:yanqiangmiffy/sentence-similarity.git

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