stop-words

问题 I have a database in SQL Server 2008 with Full Text Search indexes. I have defined the Stopword 'al' in the Stoplist. However, when I search for any phrase with the keyword 'al', the word 'al' is still uesd in ranking. This might be related to the fact that I am breaking up search terms, and reconstructing them. I am then searching across multiple fields and ranking the results: http://pastebin.com/fdce11ff. This functions to break up a search 'al hamra' into ("*al*" ~ "*hamra*") OR ("*al*"

问题 I am using lucene to remove English Stop words but my requirement is remove English stop words and Custom stop words. Below is my code to remove English stop words using lucene. My Sample Code: public class Stopwords_remove { public String removeStopWords(String string) throws IOException { StandardAnalyzer ana = new StandardAnalyzer(Version.LUCENE_30); TokenStream tokenStream = new StandardTokenizer(Version.LUCENE_36,newStringReader(string)); StringBuilder sb = new StringBuilder();

问题 I want to remove the stop words from my data but I do not want to stem the words since the exact words matters to me. I used this query. SELECT to_tsvector('english',colName)from tblName order by lower asc; Is there any way that I can remove stopWords without stemming the words? thanks 回答1: Create your own text search dictionary and configuration: CREATE TEXT SEARCH DICTIONARY simple_english (TEMPLATE = pg_catalog.simple, STOPWORDS = english); CREATE TEXT SEARCH CONFIGURATION simple_english

问题 I have a film database that contains information about a film called Yes, We're Open. When searching the database, I'm having an issue wherein a search for "yes we're open" returns another title that has the words "we're" and "open" but not "yes" in its description, even though I require all words in boolean mode (i.e. "yes we\'re open" is translated to '+yes +we\'re +open' before it's sent as a query). I assumed this was because "yes" is in the built-in stopwords list. However, when I set ft

问题 I have a data frame with strings that I'd like to remove stop words from. I'm trying to avoid using the tm package as it's a large data set and tm seems to run a bit slowly. I am using the tm stopword dictionary. library(plyr) library(tm) stopWords <- stopwords("en") class(stopWords) df1 <- data.frame(id = seq(1,5,1), string1 = NA) head(df1) df1$string1[1] <- "This string is a string." df1$string1[2] <- "This string is a slightly longer string." df1$string1[3] <- "This string is an even

问题 I do not have a formal background in Natural Language Processing was wondering if someone from the NLP side can shed some light on this. I am playing around with the NLTK library and I was specifically looking into the stopwords function provided by this package: In [80]: nltk.corpus.stopwords.words('english') Out[80]: ['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', 'her', 'hers', 'herself',

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.

问题 I'm building a search for a site, which utilizes a fulltext search. The search itself works great, that's not my problem. I string together user provided keywords (MATCH... AGAINST...) with AND's so that multiple words further narrow the results. Now, I know that certain stop words aren't indexed, and that's fine with me I don't really want to use them as selection criteria. But, if a stopword is provided in the keyword set (by the user), it kills all the results (as expected) even if the

问题 I would like to be able to search every word so I have cleared the stop word list. Than I have rebuilt the index. But unfortunately if I type in a search expression with stop word in it it still returns no row. If I leave out just the stop word I do get the results. E.g. "double wear stay in place" - no result, "double wear stay place" - I get the results that actually contain "in" as well. Does anyone know why this can be? I am using SQL Server 2012 Express. Thanks a lot! 回答1: Meanwhile I

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 7 years ago . I'm generating some statistics for some English-language text and I would like to skip uninteresting words such as "a" and "the". Where can I find some lists of these uninteresting words? Is a list of these words the same as a list of the most frequently used words in English? update: these are apparently called