FindSynonyms | Finds several Synonyms using the Unofficial Google API

 by   magruene Java Version: Current License: No License

kandi X-RAY | FindSynonyms Summary

kandi X-RAY | FindSynonyms Summary

FindSynonyms is a Java library typically used in Telecommunications, Media, Media, Entertainment applications. FindSynonyms has no bugs, it has no vulnerabilities and it has low support. However FindSynonyms build file is not available. You can download it from GitHub.

Ok, so here's how the .jar-File works. Just download the .jar, input.txt, and (for now) output.txt- File to the same dir. Assuming you have java installed, open your command window or terminal.

            kandi-support Support

              FindSynonyms has a low active ecosystem.
              It has 4 star(s) with 2 fork(s). There are 2 watchers for this library.
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FindSynonyms is current.

            kandi-Quality Quality

              FindSynonyms has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              FindSynonyms does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              FindSynonyms releases are not available. You will need to build from source code and install.
              FindSynonyms has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed FindSynonyms and discovered the below as its top functions. This is intended to give you an instant insight into FindSynonyms implemented functionality, and help decide if they suit your requirements.
            • Main entry point
            • Sends a request to the synonyms dictionary
            • Find the synonyms for the given term
            • Writes the synonyms to an OutputFile
            Get all kandi verified functions for this library.

            FindSynonyms Key Features

            No Key Features are available at this moment for FindSynonyms.

            FindSynonyms Examples and Code Snippets

            No Code Snippets are available at this moment for FindSynonyms.

            Community Discussions


            How to free the memory taken by a pyspark model (JavaModel)?
            Asked 2019-Nov-08 at 15:31

            As described, I load a trained word2vec model through pyspark.



            Answered 2019-Nov-08 at 15:08

            You can ensure that the object is dereferenced by the py4j gateway by running the following statement:

            Given word2vec_model a pyspark Transformer:

            • Given spark a SparkSession:



            Why java.lang.IllegalStateException occurs when running Word2VecExample form Scala Spark mllib?
            Asked 2019-Jun-01 at 12:43

            I am trying to read a text file in Spark-mllib examples (Word2VecExample) and create it word vectors. I run it by some text files and it gives no error but when reading one of my files, it gives this error and I am really confuse with that because I tried everything such as file format(utf-8) and ASCII characters. this is my source code:



            Answered 2019-Jun-01 at 11:58

            Hello don't know much about Spark. Also can't post comments yet so an answer will have to do. Looking at the documention here.

            .findSynonyms("string",num) "Find "num" number of words closest in similarity to the given word, not including the word itself."

            So i can't help wondering is looking for the string "1" not maybe the problem. Off the top of my head i struggle to find 5 synonyms for "1", perhaps "one",maybe "uniary" or potentially "individual". From what I read Spark is a machine learning library so have you tried dumbing down the question? Maybe ask for a single synonym or give a simpler string to search for like "happy". This is just my two cents though, and mostly just curious about what is actually happening.



            Extract embedded vecor per word from h2o.word2vec object
            Asked 2018-Feb-06 at 16:22

            I'm trying to create a pre-trained embedding layer, using h2o.word2vec, i'm looking to extract each word in the model and its equivalent embedded vector.




            Answered 2018-Feb-06 at 16:22

            you can use the method w2v_model.transform(words=words)

            (complete options are: w2v_model.transform(words =, aggregate_method =)

            where words is an H2O Frame made of a single column containing source words (Note that you can specify to include a subset of this frame) and aggregate_method specifies how to aggregate sequences of words.

            if you don't specify an aggregation method, then no aggregation is performed, and each input word is mapped to a single word-vector. If the method is AVERAGE, then the input is treated as sequences of words delimited by NA.

            For example:



            How to run MLlib's word2vec in CBOW mode?
            Asked 2017-Sep-28 at 15:35

            My understanding is that word2vec can be ran in two modes:

            • continuous bag-of-words (CBOW) (order of words does not matter)
            • continuous skip-gram (order of words matters)

            I would like to run the CBOW implementation from Spark's MLlib, but it is not clear to me from the documentation and their example how to do it. This is the example listed on their page.




            Answered 2017-Sep-28 at 15:35

            Seems like MLlib's currently only implements skip-gram.

            Here is the open ticket/pull request for the skip-gram model:



            Loadiing a trained Word2Vec model in Spark
            Asked 2017-Aug-03 at 19:33

            I am trying to load google's Pre-trained vectors 'GoogleNews-vectors-negative300.bin.gz' Google-word2vec into spark.

            I converted the bin file to txt and created a smaller chunk for testing that I called 'vectors.txt'. I tried loading it as the following:



            Answered 2017-Aug-03 at 19:33

            How exactly did you get vector.txt? If you read JavaDoc for you may see that:

            This saves: - human-readable (JSON) model metadata to path/metadata/ - Parquet formatted data to path/data/
            The model may be loaded using Loader.load.

            So what you need is model in Parquet format which is standard for Spark ML models.

            Unfortunately load from Google's native format has not been implemented yet (see SPARK-9484).


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


            No vulnerabilities reported

            Install FindSynonyms

            You can download it from GitHub.
            You can use FindSynonyms 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 FindSynonyms 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 For Gradle installation, please refer .


            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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