Preprocessing & cleaning

Everything you need to clean and preprocess your text data before getting started with analysis or model training.

8 articles in this collection
Written by Tomas Larsson and Esra Binici

Near duplicates removal

Deletes almost duplicates texts based on the similarity threshold set.

Written by Esra Binici
Updated over a week ago

The Preprocessing Wizard: Fast text cleaning & preprocessing

Clean and preprocess text through outlier removal, deduplication, language filtering, text cleaning, text splitting, and content extraction.

Written by Tomas Larsson
Updated over a week ago

Semantic filtering & disambiguation

Filter text data based on meaning rather than keywords to account for the ambiguity and richness of natural languages.

Written by Tomas Larsson
Updated over a week ago

Case conversion

The Change Case operation converts the case of text, with options for lowercasing, uppercasing, and various mixed-case formats.

Written by Tomas Larsson
Updated over a week ago

Duplicate removal

The Delete Duplicates operation deletes duplicate values.

Written by Tomas Larsson
Updated over a week ago

Pattern matching & replacement

The Replace Pattern operation replaces a user-specified pattern in text with a user-specified text string.

Written by Tomas Larsson
Updated over a week ago

Text cleaning

The Clean Text operation provides options for cleaning elements from text, such as URLs, @ tags, hashtags, punctuation, tabs, and emojis.

Written by Tomas Larsson
Updated over a week ago

Text length measurement

The Calculate Text Length operation counts the number of letters, digits, spaces, other characters, words, and sentences in text.

Written by Tomas Larsson
Updated over a week ago