[R] Affinity Analysis at Product Category Level

[anshuji]

Hi - Need help to do product affinity analysis for a Retailer. Products are 
categorized into categories such as say Baby Care, Male Hair Care, Female Hair 
Care etc. I can do affinity analysis at the product level using Apriori 
algorithm. I get the support, confidence and lift and using this I get the 
product affinity.

My objective is to tell that buying a product from say Category A means that 
there is chance that products from Category B also will be bought. However, I 
might not be able to apply same principle that I applied for individual 
products to Product Categories also. The reason is that in a customer's basket, 
there can be say 5 products of say Category A and just 1 product of category B, 
and in another transaction there might be 10 Category products and 4 Category B 
products and in another there might be 2 products of Categories A and B. There 
can be a similar imbalance across categories across transactions. In such a 
scenario, how do we perform affinity analysis.

Thanks in advance


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[R] Sentence Splitting using R's openNLP library is not efficient

[anshuji]

Please suggest any efficient way/code of splitting text into sentences in R.
Currently, I'm using openNLP library for the same, it is taking several hours 
to process 8,000+ records of twitter post/comments.

Below is my R code for same:

options(java.parameters = "-Xmx4g")

library("NLP"); library("openNLPdata"); library("openNLP")
sentence_token_annotator <- Maxent_Sent_Token_Annotator()
convert_text_to_sentences <- function(text) {
text <- as.String(text)
sentence.boundaries <- annotate(text, sentence_token_annotator)
sentences <- text[sentence.boundaries]
return(sentences)
}

system.time(textofcomment_list <- lapply(data_all$TEXT, 
convert_text_to_sentences))

Thanks in advance

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