| Title: | Text Processing Tools for Turkish E-Commerce Data |
| Description: | Provides several datasets useful for processing and analysis of text in Turkish from an online shopping platform. |
| Version: | 0.1.0 |
| Maintainer: | Betul Kan-Kilinc <bkan@eskisehir.edu.tr> |
| Imports: | stringi, stopwords, stringdist, tibble |
| Depends: | R (≥ 4.0.0) |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| LazyData: | true |
| Suggests: | knitr, rmarkdown, dplyr, ggplot2 |
| VignetteBuilder: | knitr |
| LazyDataCompression: | xz |
| URL: | https://bkanx.github.io/shoppingwords/ |
| NeedsCompilation: | no |
| Packaged: | 2025-07-22 19:48:22 UTC; mac |
| Author: | Betul Kan-Kilinc 
[aut, cre],
Mine Çetinkaya-Rundel
[ctb],
Colin Rundel
[ctb] |
| Repository: | CRAN |
| Date/Publication: | 2025-07-23 19:20:02 UTC |
shoppingwords: Text Processing Tools for Turkish E-Commerce Data
Description
Provides several datasets useful for processing and analysis of text in Turkish from an online shopping platform.
Author(s)
Maintainer: Betul Kan-Kilinc bkan@eskisehir.edu.tr (ORCID)
Other contributors:
Mine Çetinkaya-Rundel cetinkaya.mine@gmail.com (ORCID) [contributor]
Colin Rundel cr173@duke.edu (ORCID) [contributor]
See Also
Useful links:
Remove Stopwords from User Reviews
Description
This function processes a dataframe containing user reviews and removes predefined stopwords.
It first searches the package's internal stopwords dataset (stopwords_tr), and if
no match is found, it falls back to the broader stopwords_iso list.
Usage
match_stopwords(df)
Arguments
df |
Dataframe containing user reviews, with required columns |
Details
The function converts text to a standardized format by removing accents and special characters, transforming it into basic Latin characters, and making all letters lowercase. It then tokenizes the text, filters out stopwords, and returns the cleaned version.
Value
A modified dataframe with an additional cleaned_text column containing stopword-free text.
Examples
reviews_sample <- tibble::tibble(
comment = c("Bu ürün xs ancak fiyatı yüksek gibi",
"Fiyat çok pahalı ama kaliteli iyi"),
rating = c(4.5, 3.0)
)
match_stopwords(reviews_sample)
A dataset of phrases
Description
Contains common negative-emotion phrases extracted from user reviews.
Usage
phrases
Format
A tbl_df with with 205 rows and 1 variable:
- word
ngrams.
Examples
phrases
A dataset of reviews
Description
User reviews collected from an e-commerce site.
Usage
reviews
Format
A tbl_df with with 260,308 rows and 3 variables:
- rating
Rating score, out of 5.
- comment
Comment text, in Turkish.
- id
Rating ID.
Examples
reviews
A test dataset
Description
A test sample data used for testing analysis functions. It differs from reviews data.
The text column in this data frame is similar to the comment column in the reviews
data frame. Note that this data frame contains 170 texts that are in common, verbatim,
with comments in the reviews dataset. This is because some users made the same comments.
The id column shows that these are not the same observations, just similarly worded
comments from different reviews.
Usage
reviews_test
Format
A tbl_df with with 1,481 rows and 4 variables:
- rating
Rating score, out of 5.
- text
Comment text, in Turkish.
- emotion
n for negative, p for positive.
- id
Rating ID.
Examples
reviews_test
A dataset of Turkish stopwords
Description
A dataset of stopwords used in Turkish text analysis.
Usage
stopwords_tr
Format
A tbl_df with with 92 rows and 1 variable:
- word
Stopword, in Turkish.
Examples
stopwords_tr