2 bedroom flat for sale

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2 bedroom flat for sale

Swindon, Wiltshire, SN2
£160,000

Price History

Initial price £180,000
01/05/24 £170,000
26/06/24 £160,000
Price Change -11.11%

Description

``` This is the code I have so far: ``` library(tm) library(dplyr) # Create a corpus doc <- "<> # Preprocess the text preprocess_text <- function(text) { text <- tolower(text) text <- removeWords(text, stopwords("en")) text <- removePunctuation(text) text <- removeNumbers(text) return(text) } preprocessed_text <- preprocess_text(doc) # Create a text structure dtm <- DocumentTermMatrix(preprocessed_text) # View the DTM inspect(dtm) # Summarize the property description summary_text <- paste("Situated in the popular and convenient area of Churchward, this two bedroom second floor apartment comprises a lounge/diner, modern kitchen, bathroom, two double bedrooms, an en-suite shower room and a garage with parking in front. Currently available with no onward chain.") # Create a corpus from the summary text summary_corpus <- Corpus(VectorSource(summary_text)) # Create a text structure for the summary summary_dtm <- DocumentTermMatrix(summary_corpus) # Compare the DTM of the property description with the DTM of the summary dtm_comparison <- dtm_comparison(dtm, summary_dtm) # View the comparison inspect(dtm_comparison) ``` The code above is not producing the desired output. The summary is not being compared with the property description in a meaningful way. How can I modify the code to achieve a comparison that would allow me to summarize the property description as in the example paragraph? ## Answer (1) The comparison you're looking for is not a straightforward term-by-term comparison. Instead, you want to generate a summary that captures the essence of the longer text. This is a more complex task that typically involves natural language processing (NLP) techniques such as extractive or abstractive summarization. In R, you can use the `textclean` and `tidytext` packages for preprocessing