keyword-extract | 简单高效的URL关键词提取工具

 by   gudaoxuri Java Version: 1.6 License: Apache-2.0

kandi X-RAY | keyword-extract Summary

kandi X-RAY | keyword-extract Summary

keyword-extract is a Java library. keyword-extract has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

简单高效的URL关键词提取工具
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            kandi-support Support

              keyword-extract has a low active ecosystem.
              It has 15 star(s) with 1 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of keyword-extract is 1.6

            kandi-Quality Quality

              keyword-extract has no bugs reported.

            kandi-Security Security

              keyword-extract has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              keyword-extract 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

              keyword-extract releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              Build file is available. You can 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 keyword-extract and discovered the below as its top functions. This is intended to give you an instant insight into keyword-extract implemented functionality, and help decide if they suit your requirements.
            • Load the online rules from the rule url
            • Loads the rules from the given list of rules
            Get all kandi verified functions for this library.

            keyword-extract Key Features

            No Key Features are available at this moment for keyword-extract.

            keyword-extract Examples and Code Snippets

            URL关键词提取,使用
            Javadot img1Lines of Code : 10dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            
              com.ecfront
              keyword-extract
              1.6
            
            // 关键词提取
            KeyWordExtract.Result result = KeyWordExtract.extract(url);
            
            // 使用在线规则
            KeyWordExtract.loadOnlineRules("https://raw.githubusercontent.com/gudaoxuri/keyword-extract/master/src/main/resources/kwe-rules.tx  

            Community Discussions

            QUESTION

            In a tree-sitter grammar, how do I match strings except for reserved keywords in identifiers?
            Asked 2021-Apr-20 at 12:23

            This might be related to me not understanding the Keyword Extraction feature, which from the docs seems to be about avoiding an issue where no space exists between a keyword and the following expression. But say I have a fairly standard identifier regex for variable names, function names, etc.:

            /\w*[A-Za-z]\w*/

            How do I keep this from matching a reserved keyword like IF or ELSE or something like that? So this expression would produce an error:

            int IF = 5;

            while this would not:

            int x = 5;

            ...

            ANSWER

            Answered 2021-Apr-20 at 12:23

            There is a pull request pending since 2019 to add an EXCLUDE feature, but this is not currently implemented as of time of writing this (April 2021 - if some time has passed and you're reading this, please do re-check this!). And since treesitter also does not support negative lookbehind in its regular expressions, this has to be handled at the semantic level. One thing you can do to make this check easier is to enumerate all your reserved words then add them as an alternative to your identifier regex:

            Source https://stackoverflow.com/questions/66733619

            QUESTION

            re enabling parser component of spacy give error
            Asked 2020-Apr-14 at 13:33

            I am currently trying to speed up my application by removing extra spaCy component when they are not needed and enabling them at later point of time. I have come-up with this code.

            ...

            ANSWER

            Answered 2020-Apr-14 at 13:33

            You are trying to add a blank/untrained parser back to the pipeline rather the one that was provided with it. Instead, try disable_pipes(), which makes it easier to save the component and add it back later:

            Source https://stackoverflow.com/questions/61182101

            QUESTION

            Make udpipe_annotate() faster
            Asked 2018-Nov-28 at 17:56

            I am currently working on a Text Mining document, where I want to abstract relevant keywords from my text (note that I have got many, many text documents).

            I am using the udpipe package. A great Vignette is online on (http://bnosac.be/index.php/blog/77-an-overview-of-keyword-extraction-techniques). Everything works, but when I run the code, the part

            ...

            ANSWER

            Answered 2018-Nov-28 at 17:56

            I'm adding an answer based on the future API. This works independent of which OS (Windows, mac, or linux flavour) you are using.

            The future.apply package has all parallel alternatives for the base *apply family. The rest of the code is based on the answer from @jwijffels. Only difference is that I use data.table in the annotate_splits function.

            Source https://stackoverflow.com/questions/53501341

            QUESTION

            For loop when extracting keywords with udpipe in R
            Asked 2018-Oct-28 at 10:44

            Let's start with a reproducible example, which is a data frame called key composed by 8 columns and 3 rows:

            ...

            ANSWER

            Answered 2018-Oct-28 at 10:44

            Unfortunately your code contains a lot of mistakes. Your loops don't go from 1 to the number of columns, but start just at 8. Either use 1:ncol or seq_along. Your key data is a matrix, not a data.frame. You need to supply udpipe_annotate a character vector. If you just supply a key[, 8] you are also supplying the dimnames to udpipe_annotate. That might generate keywords you don't need. In method 1 you use udpipe_annotate(ud_model,s) but there is no s defined. In the method 2 you use stats[[i]], and immediately afterwords you overwrite this by using stats.

            To correct some things, first I transformed the data into a data.frame. Next I run the loop to create a list of vectors containing the keywords. After this I created a data.frame of the keywords. This part of the code takes into account different lengths of the vectors.

            You might want to check on how you get your data, because it is more logical /tidy to have 3 columns ("Title", "Short_Description", "Language") and lots of rows.

            Code

            Source https://stackoverflow.com/questions/53029648

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

            Vulnerabilities

            No vulnerabilities reported

            Install keyword-extract

            You can download it from GitHub, Maven.
            You can use keyword-extract 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 keyword-extract 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 .

            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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          • HTTPS

            https://github.com/gudaoxuri/keyword-extract.git

          • CLI

            gh repo clone gudaoxuri/keyword-extract

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            git@github.com:gudaoxuri/keyword-extract.git

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