Senta | Baidu's open-source Sentiment Analysis System | Natural Language Processing library

 by   baidu Python Version: Current License: Apache-2.0

kandi X-RAY | Senta Summary

kandi X-RAY | Senta Summary

Senta is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Natural Language Processing, Bert applications. Senta has no bugs, it has build file available, it has a Permissive License and it has medium support. However Senta has 1 vulnerabilities. You can download it from GitHub.

Baidu's open-source Sentiment Analysis System.
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            kandi-support Support

              Senta has a medium active ecosystem.
              It has 1719 star(s) with 361 fork(s). There are 61 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 63 open issues and 21 have been closed. On average issues are closed in 28 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Senta is current.

            kandi-Quality Quality

              Senta has 0 bugs and 242 code smells.

            kandi-Security Security

              Senta has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Senta code analysis shows 1 unresolved vulnerabilities (0 blocker, 1 critical, 0 major, 0 minor).
              There are 5 security hotspots that need review.

            kandi-License License

              Senta is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Senta 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.
              Installation instructions are not available. Examples and code snippets are available.
              Senta saves you 5441 person hours of effort in developing the same functionality from scratch.
              It has 11406 lines of code, 557 functions and 89 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Senta and discovered the below as its top functions. This is intended to give you an instant insight into Senta implemented functionality, and help decide if they suit your requirements.
            • Write prediction results to file
            • Return the config value for the given key
            • Given a list of logits return the n_best_size
            • Compute softmax
            • Performs a training optimizer
            • Apply dynamic loss scaling
            • Creates master params gradients
            • R Update loss scaling
            • Download the data from a tarball
            • Load model parameters
            • Encoder for ELMo embedding
            • Run prediction on texts
            • Evaluate the given output
            • Convert text to ids
            • Get the token embedding
            • Evaluate predictions
            • Generate a model from parameters
            • Do inference
            • Multi - layer layer layer
            • Builds the model
            • Train and eval metrics
            • Start running processes
            • Get pretraining output
            • Wrapper for the encoder layer
            • Tokenize text
            • Calculate the loss of a gradient loss
            Get all kandi verified functions for this library.

            Senta Key Features

            No Key Features are available at this moment for Senta.

            Senta Examples and Code Snippets

            No Code Snippets are available at this moment for Senta.

            Community Discussions

            QUESTION

            Python 2.7: read a txt file, split and group a few column count from right
            Asked 2021-Mar-06 at 10:08

            Due to the txt file has some flaw, the .txt file need to split from the right. below is some part f the files. Notice that the first row has only 4 columns and the other row has 5 columns. I want the data from the 2nd, 3rd, and 4th columns from the right

            ...

            ANSWER

            Answered 2021-Mar-06 at 10:08

            This should do the trick :)

            Source https://stackoverflow.com/questions/66504331

            QUESTION

            update a row in mysqli with if else statement
            Asked 2020-Jun-03 at 11:43

            I am trying to update a table in my mysqli database without getting the data first...what i am looking to do is the following

            ...

            ANSWER

            Answered 2020-Jun-03 at 11:43

            Your pseudocode means the next code in SQL syntax

            Source https://stackoverflow.com/questions/62171442

            QUESTION

            Detect why a socket closed: FIN vs RST
            Asked 2018-Nov-17 at 08:27

            Is it possible to detect why a socket closed in Python, i.e. whether the other side sent a FIN or an RST?

            The only way I know to detect if the other side has senta FIN or RST, is to read from the socket, and if you get the empty (byte) string, then we have received either a FIN or an RST. But how to know which one?

            ...

            ANSWER

            Answered 2018-Nov-17 at 08:27

            Based on James K Polk's comment, which I believe to be correct, you would distinguish FIN from RST by catching the appropriate exception:

            Source https://stackoverflow.com/questions/53345265

            QUESTION

            How do you iterate a function over uneven columns in Python?
            Asked 2017-May-10 at 16:18

            I know this question may not make much sense, but hopefully the following example will clarify it. I need to reference one string in column sentA and then compare it to all strings in sentB. The following example shows the dataframe I defined as questions.

            ...

            ANSWER

            Answered 2017-May-10 at 16:18
            def compare(row):
                num1 = row[0]
                pd.Series([multiply(num1, num2) for num2 in numbers[numbers.num2.notnull()].num2 ])
            
            numbers[numbers.num1.notnull()].apply(compare, axis=1).T
            

            Source https://stackoverflow.com/questions/43895739

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

            Vulnerabilities

            No vulnerabilities reported

            Install Senta

            You can download it from GitHub.
            You can use Senta 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/baidu/Senta.git

          • CLI

            gh repo clone baidu/Senta

          • sshUrl

            git@github.com:baidu/Senta.git

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