stop-words

问题 Lucene have a default stopfilter (http://lucene.apache.org/core/4_0_0/analyzers-common/org/apache/lucene/analysis/core/StopFilter.html), does anyone know which are words in the list? 回答1: The default stop words set in StandardAnalyzer and EnglishAnalyzer is from StopAnalyzer.ENGLISH_STOP_WORDS_SET , and they are: "a", "an", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these"

问题 I am following this document clustering tutorial. As an input I give a txt file which can be downloaded here. It's a combined file of 3 other txt files divided with a use of \n. After creating a tf-idf matrix I received this warning: ,,UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['abov', 'afterward', 'alon', 'alreadi', 'alway', 'ani', 'anoth', 'anyon', 'anyth', 'anywher', 'becam', 'becaus', 'becom', 'befor', 'besid',

问题 I had captured headers from newspapers,also i removed stopwords from headres but after removing stopwords the word comes with single quote,so i dont want these quote,for this i tried below code: from nltk.corpus import stopwords blog_posts=[] stop = stopwords.words('english')+[ '.', ',', '--', '\'s', '?', ')', '(', ':', '\'', '\'re', '"', '-', '}', '{', u'—', 'a', 'able', 'about', 'above', 'according', 'accordingly', 'across', 'actually', 'after', 'afterwards', 'again', 'against', 'all',

问题 I have problems with solr stopwords in my autosuggest. All stopwords was replaced by _ symbol. For example I have text "the simple text in" in field "deal_title". When I try to search word "simple" solr show me next result "_ simple text _" but I expect "simple text". Could someone explain me why this works in such way and how to fix it ? Here is part of my schema.xml <fieldType class="solr.TextField" name="text_auto"> <analyzer type="index"> <charFilter class="solr.HTMLStripCharFilterFactory

问题 I am currently testing facet searches on a text field in my Solr schema and noticing that I am getting a significant number of results that are in my stopwords.txt file. My schema is currently using the default configuration for the text data type, and I was under the impression that stopwords were not indexed if the "solr.StopFilterFactory" filter was in use. I am hoping that someone can shed some light on this and either a) help me understand why stopwords don't apply to facets and how to

问题 Where could I find an exhaustive list of stop words? The one I have is quite short and it seems to be inapplicable to scientific texts. I am creating lexical chains to extract key topics from scientific papers. The problem is that words like based , regarding , etc. should also be considered as stop words as they do not deliver much sense. 回答1: You can also easily add to existing stop word lists. E.g. use the one in the NLTK toolkit: from nltk.corpus import stopwords and then add whatever you

问题 What I would like to do (in Clojure): For example, I have a vector of words that need to be removed: (def forbidden-words [":)" "the" "." "," " " ...many more...]) ... and a vector of strings: (def strings ["the movie list" "this.is.a.string" "haha :)" ...many more...]) So, each forbidden word should be removed from each string, and the result, in this case, would be: ["movie list" "thisisastring" "haha"]. How to do this ? 回答1: (def forbidden-words [":)" "the" "." ","]) (def strings ["the

问题 I would like to know how to configure stopwordsremover with french language in spark 1.6.3. I'm currently using pyspark. Thanks for your help. Best regards, 回答1: Take a look at the nltk package I use it for portuguese words: from pyspark.ml.feature import StopWordsRemover import nltk nltk.download("stopwords") ... stopwordList = nltk.corpus.stopwords.words('portuguese') remover = StopWordsRemover(inputCol=tokenizer.getOutputCol(), outputCol="stopWordsRem", stopWords=stopwordList) Hope it

问题 I'm using the R tm package, and find that almost none of the tm_map functions that remove elements of text are working for me. By 'working' I mean for example, I'll run: d <- tm_map(d, removeWords, stopwords('english')) but then when I run ddtm <- DocumentTermMatrix(d, control = list( weighting = weightTfIdf, minWordLength = 2)) findFreqTerms(ddtm, 10) I still get: [1] the this ...etc., and a bunch of other stopwords. I see no error indicating something has gone wrong. Does anyone know what

问题 In the following two strings, the words 'rabbit' and 'tree' are matching: str1 = ('rabbit is eating grass near a tree'); str2 = ('rabbit is sleeping under tree'); Suppose cmp is a variable declared to compare both. I want the result as: cmp = 2 or something that shows that two words are matching. How do I do this? 回答1: "Crazy" bsxfun approach, which might be similar to intersect, but not tested - Function - function out = cell2_matchind(split1,split2) c1 = char(split1)-'0'; c2 = char(split2)-