summarization

问题 I have long text file using help of R language I want to summarize text in at least 10 to 20 line or in small sentences. How to summarize text in at least 10 line with R language ? 回答1: You may try this (from the LSAfun package): genericSummary(D,k=1) whereby 'D' specifies your text document and 'k' the number of sentences to be used in the summary. (Further modifications are shown in the package documentation). For more information: http://search.r-project.org/library/LSAfun/html

问题 I have long text file using help of R language I want to summarize text in at least 10 to 20 line or in small sentences. How to summarize text in at least 10 line with R language ? 回答1: You may try this (from the LSAfun package): genericSummary(D,k=1) whereby 'D' specifies your text document and 'k' the number of sentences to be used in the summary. (Further modifications are shown in the package documentation). For more information: http://search.r-project.org/library/LSAfun/html

问题 I have long text file using help of R language I want to summarize text in at least 10 to 20 line or in small sentences. How to summarize text in at least 10 line with R language ? 回答1: You may try this (from the LSAfun package): genericSummary(D,k=1) whereby 'D' specifies your text document and 'k' the number of sentences to be used in the summary. (Further modifications are shown in the package documentation). For more information: http://search.r-project.org/library/LSAfun/html

问题 I have an example dataframe below. eg_data <- data.frame( time = c("1", "1", "2","2"), type = c("long", "short","long", "short"), size=c(200,50, 500, 150 )) I need to create rows which total the values of size, for each time period. I have looked at combinations of aggregate and by, but I cannot get it to work correctly. An example of what I've tried: rbind(eg_data, data.frame(time="1 + 2", type="long", size=by(eg_data$size, eg_data$time=="long", sum))) An example of what I want the final

问题 In a data frame, I have a column with Y and N values. This data frame also has an id column. I would like to create two columns, one with the total Y count and another with the total N count for each id. I tried doing this procedure with the dplyr summarise function group_by(id) %>% summarise(total_not = count(column_y_e_n == "N"), total_yes = count(column_y_e_n == "Y") but objected to the error message Error in summarise_impl(.data, dots) Any sugestion? 回答1: Slight variation on original

问题 In a data frame, I have a column with Y and N values. This data frame also has an id column. I would like to create two columns, one with the total Y count and another with the total N count for each id. I tried doing this procedure with the dplyr summarise function group_by(id) %>% summarise(total_not = count(column_y_e_n == "N"), total_yes = count(column_y_e_n == "Y") but objected to the error message Error in summarise_impl(.data, dots) Any sugestion? 回答1: Slight variation on original

问题 I'm currently building a system, which will summarize a article from a webpage like Wikipedia. I'm able to extract texts from web pages, and I know that the Open Text Summarizer API can help me to do summarization, but the problem is I don't know how to use it properly. Please anyone who happen to know how to use this library? Can you provide a simple example for me? Currently I'm doing my project in C#. 回答1: There is a lot of examples in codeplex. Did you read it ? Well, here a sample from

问题 This question already has answers here : pyrouge: 'pyrouge_set_rouge_path' is not recognized as an internal or external command (2 answers) Closed 2 years ago . I have Windows 7 and use Python 3.4 I'm trying to work with ROUGE installing pyrouge from pypi. I followed the installation steps on the site https://pypi.python.org/pypi/pyrouge/0.1.2 But the command: pyrouge_set_rouge_path /absolute/path/to/ROUGE-1.5.5/directory doesn't execute. I try in the command prompt: pyrouge_set_rouge_path C:

问题 I want to remove all from, to, cc, subject sent tags from this text document and only keep the body of the mail so that I can use this to summarize content of the document. What is the best way to do this in python. I think it's better to first do the extraction and then use preprocessing for this case. Also attaching code here. So if anyone can suggest how to do this, would be really helpful. The payload and ismultipart part of the file is not done properly and there is where my doubt is and

问题 I need some help. I have the following table: country_code=c(1,1,1,1,1,1,2,2,2,2,2,2) target=c('V1','V1','V2','V2','V3','V3','V1','V1','V2','V2','V3','V3') M1=c('X7','X7','X14','X14','X8','X8','X29','X22','X2','X22','X22','X22') M2=c('X1','X1','X17','X11','X21','X21','X1','X29','X8','X18','X24','X24') M3=c('NA','NA','NA','X1','NA','NA','NA','NA','NA','NA','NA','NA') CountofRun=c(1,2,1,2,1,2,1,2,1,2,1,2) df<-data.frame(country_code,target,M1,M2,M3,CountofRun) and I would like to get a