stop-words

问题 I have SQL script as below for querying my ContactInfoes table SELECT * FROM ContactInfoes WHERE CONTAINS(Name, 'The') I am getting only empty result set. I have an entry in my table with Name 'The Company'. Why I am not getting any data here and how this can be resolved. Any help is appreciated. I am using SQL Server 2019 回答1: You have created FULLTEXT index without specifying STOPLIST. Thus, the default STOPLIST was used. By default the word 'the' is the stop word, that removed from your

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 I'm removing stop words from a String, using Apache's Lucene (8.6.3) and the following Java 8 code: private static final String CONTENTS = "contents"; final String text = "This is a short test! Bla!"; final List<String> stopWords = Arrays.asList("short","test"); final CharArraySet stopSet = new CharArraySet(stopWords, true); try { Analyzer analyzer = new StandardAnalyzer(stopSet); TokenStream tokenStream = analyzer.tokenStream(CONTENTS, new StringReader(text)); CharTermAttribute term =

问题 I'm removing stop words from a String, using Apache's Lucene (8.6.3) and the following Java 8 code: private static final String CONTENTS = "contents"; final String text = "This is a short test! Bla!"; final List<String> stopWords = Arrays.asList("short","test"); final CharArraySet stopSet = new CharArraySet(stopWords, true); try { Analyzer analyzer = new StandardAnalyzer(stopSet); TokenStream tokenStream = analyzer.tokenStream(CONTENTS, new StringReader(text)); CharTermAttribute term =

问题 I want to exclude 'The', 'They' and 'My' from being displayed in my word cloud. I'm using the python library 'wordcloud' as below, and updating the STOPWORDS list with these 3 additional stopwords, but the wordcloud is still including them. What do I need to change so that these 3 words are excluded? The libraries I imported are: import numpy as np import pandas as pd from wordcloud import WordCloud, STOPWORDS import matplotlib.pyplot as plt I've tried adding elements to the STOPWORDS set at

问题 I want to exclude 'The', 'They' and 'My' from being displayed in my word cloud. I'm using the python library 'wordcloud' as below, and updating the STOPWORDS list with these 3 additional stopwords, but the wordcloud is still including them. What do I need to change so that these 3 words are excluded? The libraries I imported are: import numpy as np import pandas as pd from wordcloud import WordCloud, STOPWORDS import matplotlib.pyplot as plt I've tried adding elements to the STOPWORDS set at

问题 consider examples below : Example 1 : str1 = "wow...it looks amazing" str2 = "looks amazi" You see that amazi is close to amazing , str2 is mistyped, i wanted to write a program that will tell me that amazi is close to amazing then in str2 i will replace amazi with amazing Example 2 : str1 = "is looking good" str2 = "looks goo" In this case updated str2 will be "looking good" Example 3 : str1 = "you are really looking good" str2 = "lok goo" In this case str2 will be "good" as lok is not close

问题 I've searched a lot, it's said that I have to edit my.cnf file to change the stopword list. I renamed my-medium.cnf to my.cnf and added the ft_query_expansion_limit and ft_stopword_file conditions. I have restarted mySQL. But it is not taking effect. I dont have admin privileges. # The MySQL server [mysqld] port = 3306 socket = /tmp/mysql.sock skip-external-locking key_buffer_size = 16M max_allowed_packet = 1M table_open_cache = 64 sort_buffer_size = 512K net_buffer_length = 8K read_buffer

问题 Are there any easy ways to implement filtering a user's input (possibly a question) by extracting the meaningful data in the query? I basically want to filter out any noise words so I can send a 'clean' query to Google's search api. 回答1: Um, won't Google do this for you? Send all those dirty, filthy words to Google and let them clean them up for you. 回答2: Jeff talked about "stop words" in one of the previous stackoverflow podcasts. You might try searching for that phrase on google. The

问题 I have managed to evaluate the tf-idf function for a given corpus. How can I find the stopwords and the best words for each document? I understand that a low tf-idf for a given word and document means that it is not a good word for selecting that document. 回答1: Stop-words are those words that appear very commonly across the documents, therefore loosing their representativeness. The best way to observe this is to measure the number of documents a term appears in and filter those that appear in