stanford-core-nlp | Ruby bindings to the Stanford Core NLP tools | Natural Language Processing library

 by   louismullie Ruby Version: Current License: Non-SPDX

kandi X-RAY | stanford-core-nlp Summary

kandi X-RAY | stanford-core-nlp Summary

stanford-core-nlp is a Ruby library typically used in Artificial Intelligence, Natural Language Processing, Ubuntu applications. stanford-core-nlp has no bugs, it has no vulnerabilities and it has low support. However stanford-core-nlp has a Non-SPDX License. You can download it from GitHub.

Ruby bindings to the Stanford Core NLP tools (English, French, German).
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              stanford-core-nlp has a low active ecosystem.
              It has 425 star(s) with 68 fork(s). There are 33 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 16 open issues and 23 have been closed. On average issues are closed in 56 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of stanford-core-nlp is current.

            kandi-Quality Quality

              stanford-core-nlp has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              stanford-core-nlp has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              stanford-core-nlp releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              stanford-core-nlp saves you 284 person hours of effort in developing the same functionality from scratch.
              It has 687 lines of code, 14 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            stanford-core-nlp Key Features

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            stanford-core-nlp Examples and Code Snippets

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            Community Discussions

            QUESTION

            Lemmatization of Spanish sentences In Stanford CoreNLP
            Asked 2018-Feb-09 at 05:39

            How can I use Stanford-NLP to lemmatize words or is this even a possibility in coreNLP?

            According to this website (https://stanfordnlp.github.io/CoreNLP/human-languages.html) Lemmatization is not an option--but I'm hoping that this is a neglected page that needs to be updated.

            Additionally, I've seen related questions but about German: Does Stanford Core NLP support lemmatization for German?

            How can I lemmatize spanish words in CoreNLP?

            ...

            ANSWER

            Answered 2018-Feb-09 at 05:39

            According to GitHub, this is not functionality that exists in Stanford Core NLP.

            https://github.com/stanfordnlp/CoreNLP/issues/137

            Source https://stackoverflow.com/questions/48181177

            QUESTION

            Detailed Sentiment Score in Stanford CoreNLP
            Asked 2017-Nov-15 at 04:52

            On the StanfordCore NLP website there is the following demo:http://nlp.stanford.edu:8080/sentiment/rntnDemo.html

            The demo gives a sentence a detailed sentiment score from 0 to 4.

            I understand how to get a "positive" or "negative" assessment using command line, similar to this: Screenshot from corenlp.run showing a positive sentiment analysis

            I have seen this question already, but I am interested how the analysis shown in the attached screenshot is created. Getting sentiment analysis result using stanford core nlp java code

            Is there a way in Stanford CoreNLP to return a score (i.e. 0-4) for a given sentence so show its degree of positivity or negativity?

            Thanks!

            ...

            ANSWER

            Answered 2017-Nov-15 at 04:52

            There are multiple ways to get that kind of info.

            Also I should note that the there is a direct mapping:

            "Very negative" = 0 "Negative" = 1 "Neutral" = 2 "Positive" = 3 "Very positive" = 4

            Here is a sample command:

            Source https://stackoverflow.com/questions/47273885

            QUESTION

            Set options in Stanford CoreNLP tokenizer
            Asked 2017-May-12 at 22:47

            I adapted Prof. Mannings code sample from here to read in a file, tokenize, part-of-speech-tag, and lemmatize it.

            Now I came across the issue of untokenizable characters, and I would like to use the "untokenizable" option and set it to "noneKeep".

            Other questions on StackOverflow explain that I would need to instantiate the tokenizer myself. However, I am not sure how to do that so that the following tasks (POS tagging etc.) are still performed as needed. Can anyone point me in the right direction?

            ...

            ANSWER

            Answered 2017-May-12 at 22:47

            Add this to your code:

            props.setProperty("tokenize.options", "untokenizable=allKeep");

            The 6 options for untokenizable are:

            noneDelete, firstDelete, allDelete, noneKeep, firstKeep, allKeep

            Source https://stackoverflow.com/questions/43945368

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

            Vulnerabilities

            No vulnerabilities reported

            Install stanford-core-nlp

            First, install the gem: gem install stanford-core-nlp. Then, download the Stanford Core NLP JAR and model files: Stanford CoreNLP. Place the contents of the extracted archive inside the /bin/ folder of the stanford-core-nlp gem (e.g. [...]/gems/stanford-core-nlp-0.x/bin/).

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