tokenize

listunagg function?

纵然是瞬间 提交于 2019-12-18 13:26:14
问题 is there such thing in oracle like listunagg function? For example, if I have a data like: ------------------------------------------------------------ | user_id | degree_fi | degree_en | degree_sv | -------------------------------------------------------------- | 3601464 | 3700 | 1600 | 2200 | | 1020 | 100 | 0 | 0 | | 3600520 | 100,3200,400 | 1300, 800, 3000 | 1400, 600, 1500 | | 3600882 | 0 | 100 | 200 | -------------------------------------------------------------- and I'd like to show

split XML element into many

随声附和 提交于 2019-12-18 09:33:56
问题 this might be impossible, but u guys might have an answer, im tryin to split this xml <CTP> <name>ABSA bank</name> <BAs.BA>bank|sector|issuer</BAs.BA> </CTP> and transform it to this form : <CTP> <name>ABSA bank</name> <BAs> <BA>bank</BA> <BA>sector</BA> <BA>issuer</BA> </BAs> </CTP> i could do this using this code <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:str="http://exslt.org/strings" version="1.0" extension-element-prefixes="str"> <xsl

Does PL/SQL have an equivalent StringTokenizer to Java's?

生来就可爱ヽ(ⅴ<●) 提交于 2019-12-18 06:48:31
问题 I use java.util.StringTokenizer for simple parsing of delimited strings in java. I have a need for the same type of mechanism in pl/sql. I could write it, but if it already exists, I would prefer to use that. Anyone know of a pl/sql implementation? Some useful alternative? 回答1: PL/SQL does include a basic one for comma separated lists ( DBMS_UTILITY.COMMA_TO_TABLE ). Example: DECLARE lv_tab_length BINARY_INTEGER; lt_array DBMS_UTILITY.lname_array; BEGIN DBMS_UTILITY.COMMA_TO_TABLE( list =>

How to avoid NLTK's sentence tokenizer splitting on abbreviations?

[亡魂溺海] 提交于 2019-12-18 04:01:50
问题 I'm currently using NLTK for language processing, but I have encountered a problem of sentence tokenizing. Here's the problem: Assume I have a sentence: "Fig. 2 shows a U.S.A. map." When I use punkt tokenizer, my code looks like this: from nltk.tokenize.punkt import PunktSentenceTokenizer, PunktParameters punkt_param = PunktParameters() abbreviation = ['U.S.A', 'fig'] punkt_param.abbrev_types = set(abbreviation) tokenizer = PunktSentenceTokenizer(punkt_param) tokenizer.tokenize('Fig. 2 shows

Tokenizer, Stop Word Removal, Stemming in Java

蹲街弑〆低调 提交于 2019-12-17 21:54:43
问题 I am looking for a class or method that takes a long string of many 100s of words and tokenizes, removes the stop words and stems for use in an IR system. For example: "The big fat cat, said 'your funniest guy i know' to the kangaroo..." the tokenizer would remove the punctuation and return an ArrayList of words the stop word remover would remove words like "the", "to", etc the stemmer would reduce each word the their 'root', for example 'funniest' would become funny Many thanks in advance.

Split string with PowerShell and do something with each token

℡╲_俬逩灬. 提交于 2019-12-17 17:53:23
问题 I want to split each line of a pipe on spaces, and then print each token on its own line. I realise that I can get this result using: (cat someFileInsteadOfAPipe).split(" ") But I want more flexibility. I want to be able to do just about anything with each token. (I used to use AWK on Unix, and I'm trying to get the same functionality.) I currently have: echo "Once upon a time there were three little pigs" | %{$data = $_.split(" "); Write-Output "$($data[0]) and whatever I want to output with

How to apply NLTK word_tokenize library on a Pandas dataframe for Twitter data?

你说的曾经没有我的故事 提交于 2019-12-17 16:29:19
问题 This is the Code that I am using for semantic analysis of twitter:- import pandas as pd import datetime import numpy as np import re from nltk.tokenize import word_tokenize from nltk.corpus import stopwords from nltk.stem.wordnet import WordNetLemmatizer from nltk.stem.porter import PorterStemmer df=pd.read_csv('twitDB.csv',header=None, sep=',',error_bad_lines=False,encoding='utf-8') hula=df[[0,1,2,3]] hula=hula.fillna(0) hula['tweet'] = hula[0].astype(str) +hula[1].astype(str)+hula[2].astype

How to tokenize (words) classifying punctuation as space

耗尽温柔 提交于 2019-12-17 13:25:31
问题 Based on this question which was closed rather quickly: Trying to create a program to read a users input then break the array into seperate words are my pointers all valid? Rather than closing I think some extra work could have gone into helping the OP to clarify the question. The Question: I want to tokenize user input and store the tokens into an array of words. I want to use punctuation (.,-) as delimiter and thus removed it from the token stream. In C I would use strtok() to break an

Split column to multiple rows

a 夏天 提交于 2019-12-17 13:23:45
问题 I have table with a column that contains multiple values separated by comma (,) and would like to split it so I get earch Site on its own row but with the same Number in front. So my select would from this input table Sitetable Number Site 952240 2-78,2-89 952423 2-78,2-83,8-34 Create this output Number Site 952240 2-78 952240 2-89 952423 2-78 952423 2-83 952423 8-34 I found something that I thought would work but nope.. select Number, substr( Site, instr(','||Site,',',1,seq), instr(','||Site

Is it a Lexer's Job to Parse Numbers and Strings?

你说的曾经没有我的故事 提交于 2019-12-17 10:52:43
问题 Is it a lexer's job to parse numbers and strings? This may or may not sound dumb, given that fact that I'm asking whether a lexer should parse input. However, I'm not sure whether that's in fact the lexer's job or the parser's job, because in order to lex properly, the lexer needs to parse the string/number in the first place , so it would seem like code would be duplicated if the parser does this. Is it indeed the lexer's job? Or should the lexer simply break up a string like 123.456 into