summarization

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#. There is a lot of examples in codeplex . Did you read it ? Well, here a sample from the Winform demo : SummarizerArguments sumargs = new SummarizerArguments { DictionaryLanguage = "en",

I have a data frame with an ID column, a date column (12 months for each ID), and I have 23 numeric variables. I would like to obtain the percentage change by month within each ID. I am using the quantmod package in order to obtain the percent change. Here is an example with only three columns (for simplicity): ID Date V1 V2 V3 1 Jan 2 3 5 1 Feb 3 4 6 1 Mar 7 8 9 2 Jan 1 1 1 2 Feb 2 3 4 2 Mar 7 8 8 I tried to use dplyr and the summarise_each function, but that was unsuccessful. More specifically, I tried the following (train is the name of the data set): library(dplyr) library(quantmod) group1

Sample Data: product_id <- c("1000","1000","1000","1000","1000","1000", "1002","1002","1002","1002","1002","1002") qty_ordered <- c(1,2,1,1,1,1,1,2,1,2,1,1) price <- c(2.49,2.49,2.49,1.743,2.49,2.49, 2.093,2.093,2.11,2.11,2.11, 2.97) date <- c("2/23/15","2/23/15", '3/16/15','3/16/15','5/16/15', "6/18/15", "2/19/15","3/19/15","3/19/15","3/19/15","3/19/15","4/19/15") sampleData <- data.frame(product_id, qty_ordered, price, date) I would like to identify every time when a change in a price occurred. Also, I would like to sum() the total qty_ordered between those two price change dates. For

I have a data set customerId, transactionDate, productId, purchaseQty loaded into a data.table. for each row, I want to calculate the sum, and mean of purchaseQty for the prior 45 day productId customerID transactionDate purchaseQty 1: 870826 1186951 2016-03-28 162000 2: 870826 1244216 2016-03-31 5000 3: 870826 1244216 2016-04-08 6500 4: 870826 1308671 2016-03-28 221367 5: 870826 1308671 2016-03-29 83633 6: 870826 1308671 2016-11-29 60500 I'm looking for an output like this: productId customerID transactionDate purchaseQty sumWindowPurchases 1: 870826 1186951 2016-03-28 162000 162000 2: 870826

I want to use the python package pyrouge on Microsoft Windows. The package doesn't give any instructions on how to install it on Microsoft Windows. How can I do so? The following instructions were tested on Windows 7 SP1 x64 Ultimate and python 3.5 x64 (Anaconda). 1) In the cmd.exe , run pip install pyrouge 2) Download ROUGE-1.5.5 . You may download it from https://github.com/andersjo/pyrouge/tree/master/tools/ROUGE-1.5.5 3) pyrouge comes with a python script named pyrouge_set_rouge_path (it has no file extension for some reason), which you need to run in order to point pyrouge to the