stop-words

Adding words to nltk stoplist

丶灬走出姿态 提交于 2019-11-30 09:19:50
I have some code that removes stop words from my data set, as the stop list doesn't seem to remove a majority of the words I would like it too, I'm looking to add words to this stop list so that it will remove them for this case. The code i'm using to remove stop words is: word_list2 = [w.strip() for w in word_list if w.strip() not in nltk.corpus.stopwords.words('english')] I'm unsure of the correct syntax for adding words and can't seem to find the correct one anywhere. Any help is appreciated. Thanks. You can simply use the append method to add words to it: stopwords = nltk.corpus.stopwords

How to remove list of words from a list of strings

强颜欢笑 提交于 2019-11-30 06:24:39
问题 Sorry if the question is bit confusing. This is similar to this question I think this the above question is close to what I want, but in Clojure. There is another question I need something like this but instead of '[br]' in that question, there is a list of strings that need to be searched and removed. Hope I made myself clear. I think that this is due to the fact that strings in python are immutable. I have a list of noise words that need to be removed from a list of strings. If I use the

Get rid of stopwords and punctuation

怎甘沉沦 提交于 2019-11-30 04:02:38
I'm struggling with NLTK stopword. Here's my bit of code.. Could someone tell me what's wrong? from nltk.corpus import stopwords def removeStopwords( palabras ): return [ word for word in palabras if word not in stopwords.words('spanish') ] palabras = ''' my text is here ''' JHSaunders Your problem is that the iterator for a string returns each character not each word. For example: >>> palabras = "Buenos dias" >>> [c for c in palabras] ['B', 'u', 'e', 'n', 'a', 's', ' ', 'd', 'i', 'a', 's'] You need to iterate and check each word, fortunately the split function already exists in the python

Most used words in text with php

◇◆丶佛笑我妖孽 提交于 2019-11-29 23:04:45
问题 I found the code below on stackoverflow and it works well in finding the most common words in a string. But can I exclude the counting on common words like "a, if, you, have, etc"? Or would I have to remove the elements after counting? How would I do this? Thanks in advance. <?php $text = "A very nice to tot to text. Something nice to think about if you're into text."; $words = str_word_count($text, 1); $frequency = array_count_values($words); arsort($frequency); echo '<pre>'; print_r(

NLTK and Stopwords Fail #lookuperror

空扰寡人 提交于 2019-11-29 22:48:13
I am trying to start a project of sentiment analysis and I will use the stop words method. I made some research and I found that nltk have stopwords but when I execute the command there is an error. What I do is the following, in order to know which are the words that nltk use (like what you may found here http://www.nltk.org/book/ch02.html in section4.1): from nltk.corpus import stopwords stopwords.words('english') But when I press enter I obtain --------------------------------------------------------------------------- LookupError Traceback (most recent call last) <ipython-input-6

Can I customize Elastic Search to use my own Stop Word list?

孤街醉人 提交于 2019-11-29 17:54:37
问题 specifically, I want to index everything (e.g. the who) with no stop word list. Is elastic search flexible enough and easy enough to change? 回答1: By default, the analyzer elasticsearch uses is a standard analyzer with the default Lucene English stopwords. I have configured elasticsearch to use the same analyzer but without stopwords by adding the following to the elasticsearch.yml file. # Index Settings index: analysis: analyzer: # set standard analyzer with no stop words as the default for

Adding custom stopwords in R tm

白昼怎懂夜的黑 提交于 2019-11-29 17:10:48
问题 I have a Corpus in R using the tm package. I am applying the removeWords function to remove stopwords tm_map(abs, removeWords, stopwords("english")) Is there a way to add my own custom stop words to this list? 回答1: stopwords just provides you with a vector of words, just c ombine your own ones to this. tm_map(abs, removeWords, c(stopwords("english"),"my","custom","words")) 回答2: Save your custom stop words in a csv file (ex: word.csv ). library(tm) stopwords <- read.csv("word.csv", header =

How to remove stop words in java?

喜夏-厌秋 提交于 2019-11-29 15:41:34
问题 I want to remove stop words in java. So, I read stop words from text file. and store Set Set<String> stopWords = new LinkedHashSet<String>(); BufferedReader br = new BufferedReader(new FileReader("stopwords.txt")); String words = null; while( (words = br.readLine()) != null) { stopWords.add(words.trim()); } br.close(); And, I read another text file. So, I wanna remove to duplicate string in text file. How can I? 回答1: You want to remove duplicate words from file, below is the high level logic

Adding words to nltk stoplist

China☆狼群 提交于 2019-11-29 13:08:19
问题 I have some code that removes stop words from my data set, as the stop list doesn't seem to remove a majority of the words I would like it too, I'm looking to add words to this stop list so that it will remove them for this case. The code i'm using to remove stop words is: word_list2 = [w.strip() for w in word_list if w.strip() not in nltk.corpus.stopwords.words('english')] I'm unsure of the correct syntax for adding words and can't seem to find the correct one anywhere. Any help is

Effects of Stemming on the term frequency?

若如初见. 提交于 2019-11-29 08:54:27
问题 How are the term frequencies (TF), and inverse document frequency (IDF), affected by stop-word removal and stemming? Thanks! 回答1: tf is term frequency idf is inverse document frequency which is obtained by dividing the total number of documents by the number of documents containing the term, and then taking the logarithm of that quotient. stemming effect is grouping all words which are derived from the same stem (ex: played, play,..), this grouping will increase the occurrence of this stem