word-frequency

问题 I am new in elasticsearch and want to get the top N term frequency of the "content" field of a specific document using Nest elasticsearch. I've searched a lot to find a proper answer that works for me, but I just got that I should use Terms vector and not Term Facet since it counts the terms in the whole set of documents. I know that I should do some settings for Term Vector like below; [ElasticProperty(Type = Nest.FieldType.attachment, TermVector =Nest.TermVectorOption.with_positions_offsets

问题 In my project I have to count the most frequent words in a Wikipedia article. I found Jsoup for parsing HTML format, but that still leaves the problem of word frequency. Is there a function in Jsoup that count the freqeuncy of words, or any way to find which words are the most frequent on a webpage, using Jsoup ? Thanks. 回答1: Yes, you could use Jsoup to get the text from the webpage, like this: Document doc = Jsoup.connect("http://en.wikipedia.org/").get(); String text = doc.body().text();

问题 There are many resources online that shows how to do a word count for single word like this and this and this and others... But I was not not able to find a concrete example for two words count frequency . I have a csv file that has some strings in it. FileList = "I love TV show makes me happy, I love also comedy show makes me feel like flying" So I want the output to be like : wordscount = {"I love": 2, "show makes": 2, "makes me" : 2 } Of course I will have to strip all the comma,

问题 My problem is I can't figure out how to display the word count using the dictionary and refer to keys length. For example, consider the following piece of text: "This is the sample text to get an idea!. " Then the required output would be 3 2 2 3 0 5 as there are 3 words of length 2, 2 words of length 3, and 0 words of length 5 in the given sample text. I got as far as displaying the list the word occurrence frequency: def word_frequency(filename): word_count_list = [] word_freq = {} text =

问题 There is a table shown below Name Mon Tue Wed Thu Fri Sat Sun 1 John Apple Orange Apple Banana Apple Apple Orange 2 Ricky Banana Apple Banana Banana Banana Banana Apple 3 Alex Apple Orange Orange Apple Apple Orange Orange 4 Robbin Apple Apple Apple Apple Apple Banana Banana 5 Sunny Banana Banana Apple Apple Apple Banana Banana So , I want to count the most frequent Fruit for each person and add those value in new column. For example. Name Mon Tue Wed Thu Fri Sat Sun Max_Acc Count 1 John Apple

问题 This gives me a frequency of words in a text: fullWords = re.findall(r'\w+', allText) d = defaultdict(int) for word in fullWords : d[word] += 1 finalFreq = sorted(d.iteritems(), key = operator.itemgetter(1), reverse=True) self.response.out.write(finalFreq) This also gives me useless words like "the" "an" "a" My question is, is there a stop words library available in python which can remove all these common words? I want to run this on google app engine 回答1: You can download lists of stopwords

问题 This question already has answers here : Get word frequencies from SQL Server Full Text Search (2 answers) Closed 5 years ago . I have a table called 'ticket_diary_comment' with a column called 'comment_text' . This column is populated with text data. I would like to get the frequency of all the words occurring in this entire column. Ex: Comment_Text I am a good guy I am a bad guy I am not a guy What I want: Word Frequency I 3 good 1 bad 1 not 1 guy 3 Notice that I have also removed the stop

问题 I have this large corpus data in dataframe res (dataframe) text.1 1 <NA> 2 beren stuart vanuatu monday october venkatesh ramesh sandeep talanki nagaraj subject approve qlikview gpa access process form gpa access email requestor line manager access granted raj add user qlikview workgroup gpa access form requestors lim tek kon vanuatu address lini high port vila efate title relationship manager emerging corporates employee id lan id limtk bsbcc authorising manager beren stuart vanuatu read gpa

问题 Given a .txt files with space separated words such as: But where is Esope the holly Bastard But where is And the Awk function : cat /pathway/to/your/file.txt | tr ' ' '\n' | sort | uniq -c | awk '{print $2"@"$1}' I get the following output in my console : 1 Bastard 1 Esope 1 holly 1 the 2 But 2 is 2 where How to get into printed into myFile.txt ? I actually have 300.000 lines and near 2 millions words. Better to output the result into a file. EDIT: Used answer (by @Sudo_O): $ awk '{a[$1]++

问题 I want to convert this matrix into a pandas dataframe. csc_matrix The first number in the bracket should be the index , the second number being columns and the number in the end being the data . I want to do this to do feature selection in text analysis, the first number represents the document, the second being the feature of word and the last number being the TFIDF score. Getting a dataframe helps me to transform the text analysis problem into data analysis. 回答1: from scipy.sparse import