word-count

问题 Here's what I have so far: import string So I have the user write a 5 worded sentence asking for only 5 words: def main(sentence = raw_input("Enter a 5 worded sentence: ")): if len(words)<5: words = string.split(sentence) wordCount = len(words) print "The total word count is:", wordCount If the user inputs more than 5 words: elif len(words)>5: print 'Try again. Word exceeded 5 word limit' Less than 5 words: else: print 'Try again. Too little words!' It keeps stating that: UnboundLocalError:

问题 I need to be able to write a code in C programming that can read the text file and find how many of each word there is and output the word and how many times it occurs. Right now I have code that will print out each word and how many times it occurs, but I need it to print in alphabetical order and to ignore the uppercase letters. For example, "It" and "it" should be counted as the same word. I'm not sure where in my code to include the revisions. Below is an example of my code. #include

问题 I'm new to Hadoop, and i'm trying to do a MapReduce program, to count the max first two occurrencise of lecters by date (grouped by month). So my input is of this kind : 2017-06-01 , A, B, A, C, B, E, F 2017-06-02 , Q, B, Q, F, K, E, F 2017-06-03 , A, B, A, R, T, E, E 2017-07-01 , A, B, A, C, B, E, F 2017-07-05 , A, B, A, G, B, G, G so, i'm expeting as result of this MapReducer program, something like : 2017-06, A:4, E:4 2017-07, A:4, B:4 public class ArrayGiulioTest { public static Logger

问题 I use git for a slightly unusual purpose--it stores my text as I write fiction. (I know, I know...geeky.) I am trying to keep track of productivity, and want to measure the degree of difference between subsequent commits. The writer's proxy for "work" is "words written", at least during the creation stage. I can't use straight word count as it ignores editing and compression, both vital parts of writing. I think I want to track: (words added)+(words removed) which will double-count (words

问题 I've recently been working on some database search functionality and wanted to get some information like the average words per document (e.g. text field in the database). The only thing I have found so far (without processing in language of choice outside the DB) is: SELECT AVG(LENGTH(content) - LENGTH(REPLACE(content, ' ', '')) + 1) FROM documents This seems to work* but do you have other suggestions? I'm currently using MySQL 4 (hope to move to version 5 for this app soon), but am also

问题 I have the following python pandas dataframe: Question_ID | Customer_ID | Answer 1 234 The team worked very hard ... 2 234 All the teams have been working together ... I am going to use my code to count words in the answer column. But beforehand, I want to take out the "s" from the word "teams", so that in the example above I count team: 2 instead of team:1 and teams:1. How can I do this for all words? 回答1: You need to use a tokenizer (for breaking a sentence into words) and lemmmatizer (for

问题 I have the following python pandas dataframe: Question_ID | Customer_ID | Answer 1 234 The team worked very hard ... 2 234 All the teams have been working together ... I am going to use my code to count words in the answer column. But beforehand, I want to take out the "s" from the word "teams", so that in the example above I count team: 2 instead of team:1 and teams:1. How can I do this for all words? 回答1: You need to use a tokenizer (for breaking a sentence into words) and lemmmatizer (for

问题 I wrote one Hadoop word count program which takes TextInputFormat input and is supposed to output word count in avro format. Map-Reduce job is running fine but output of this job is readable using unix commands such as more or vi . I was expecting this output be unreadable as avro output is in binary format. I have used mapper only, reducer is not present. I just want to experiment with avro so I am not worried about memory or stack overflow. Following the the code of mapper public class

问题 I Have managed to run the Hadoop wordcount example in a non-distributed mode; I get the output in a file named "part-00000"; I can see that it lists all words of all input files combined. After tracing the wordcount code I can see that it takes lines and splits the words based on spaces. I am trying to think of a way to just list the words that have occurred in multiple files and their occurrences? can this be achieved in Map/Reduce? -Added- Are these changes appropriate? //changes in the

问题 I have a Dataset with 2 columns and multiple rows. first column ID, second column the text which belongs to it. I want to add more columns which sums up how many times a certain string appears in the text from the Row. the string would be "\n Positive\n", "\n Neutral\n", "\n Negativ\n"` Example of the Dataset: Id, Content 2356, I like cheese.\n Positive\nI don't want to be here.\n Negative\n 3456, I am alone.\n Neutral\n At the End it should look like Id, Content,Positiv, Neutral, Negativ