keyword-extract | 简单高效的URL关键词提取工具
kandi X-RAY | keyword-extract Summary
kandi X-RAY | keyword-extract Summary
简单高效的URL关键词提取工具
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Top functions reviewed by kandi - BETA
- Load the online rules from the rule url
- Loads the rules from the given list of rules
keyword-extract Key Features
keyword-extract Examples and Code Snippets
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
Trending Discussions on keyword-extract
QUESTION
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 12:23There 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:
QUESTION
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 13:33You 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:
QUESTION
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 17:56I'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.
QUESTION
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 10:44Unfortunately 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.
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No vulnerabilities reported
Install keyword-extract
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 .
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