>
2 bedroom flat for sale
Swindon, Wiltshire, SN2
£160,000
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