This question is a litte old, but maybe I think an additional answer is necessary. With ElasticSearch 1.0.0 the Term Vector API was added which gives you direct access to the tokens ElasticSearch stores under the hood on per document basis. The API docs are not very clear on this (only mentioned in the example), … Read more
Tokenizing can be composed of a few steps, for example, if you have this html code: <html> <head> <title>My HTML Page</title> </head> <body> <p style=”special”> This paragraph has special style </p> <p> This paragraph is not special </p> </body> </html> the tokenizer may convert that string to a flat list of significant tokens, discarding whitespaces … Read more
here is another easier option select to_number(column_value) as IDs from xmltable(‘1,2,3,4,5’);
Use Reader.read(). A return value of -1 means end of stream; else, cast to char. This code reads character data from a list of file arguments: public class CharacterHandler { //Java 7 source level public static void main(String[] args) throws IOException { // replace this with a known encoding if possible Charset encoding = Charset.defaultCharset(); … Read more
No, the problem is that * is a reserved character in regexes, so you need to escape it. String [] separado = line.split(“\\*”); * means “zero or more of the previous expression” (see the Pattern Javadocs), and you weren’t giving it any previous expression, making your split expression illegal. This is why the error was … Read more
There is apex_util.string_to_table – see my answer to this question. Also, prior to the existence of the above function, I once posted a solution here on my blog. Update In later versions of APEX, apex_util.string_to_table is deprecated, and a similar function apex_string.split is preferred.
This is actually on the main page of nltk.org: >>> import nltk >>> sentence = “””At eight o’clock on Thursday morning … Arthur didn’t feel very good.””” >>> tokens = nltk.word_tokenize(sentence) >>> tokens [‘At’, ‘eight’, “o’clock”, ‘on’, ‘Thursday’, ‘morning’, ‘Arthur’, ‘did’, “n’t”, ‘feel’, ‘very’, ‘good’, ‘.’]
I know how it feels when waiting for somebodies support to handle an API bug while your application is going to not met deadlines defined. The issue you described really sound like a bug, so for “clean” solution you will have to wait until Google Sites team guys will resolve this bug (I already upvoted … Read more
“Once upon a time there were three little pigs”.Split(” “) | ForEach { “$_ is a token” } The key is $_, which stands for the current variable in the pipeline. About the code you found online: % is an alias for ForEach-Object. Anything enclosed inside the brackets is run once for each object it … Read more
Yeah, it’s a little convoluted (compared to the good ol’ way), but this should do it: TokenStream tokenStream = analyzer.tokenStream(fieldName, reader); OffsetAttribute offsetAttribute = tokenStream.getAttribute(OffsetAttribute.class); TermAttribute termAttribute = tokenStream.getAttribute(TermAttribute.class); while (tokenStream.incrementToken()) { int startOffset = offsetAttribute.startOffset(); int endOffset = offsetAttribute.endOffset(); String term = termAttribute.term(); } Edit: The new way According to Donotello, TermAttribute has been … Read more