"Tokenization" Example Sentences
1. The first step in text preprocessing is tokenization.
2. The accuracy of text classification heavily relies on the quality of tokenization.
3. Tokenization involves breaking larger text into smaller sections.
4. The tokenization process can be enhanced by using regular expressions.
5. The tokenization algorithm is a crucial component of natural language processing.
6. Tokenization allows for efficient analysis of large amounts of textual data.
7. The success of sentiment analysis largely depends on the tokenization approach utilized.
8. Tokenization is necessary to process text for machine learning models.
9. The quality of tokenization can impact the accuracy of information extraction from text.
10. Tokenization is an important step in preparing text for search engine optimization.
11. The use of specialized tokenization methods can improve text summarization.
12. Tokenization can be used to separate dialogue from narrative in storytelling.
13. The tokenization of hashtags is important in analyzing social media data.
14. The tokenization of webpages can aid in web scraping for data mining.
15. Unsupervised tokenization techniques can be used to identify language patterns.
16. Tokenization can be used to differentiate between different types of source code.
17. The accuracy of machine translation depends on the quality of tokenization of the source language.
18. The tokenization of natural language can aid in the development of chatbots.
19. The tokenization of historical documents can assist in digital archiving efforts.
20. Tokenization can be used to extract important keywords from text for SEO purposes.
21. The tokenization of genetic data can aid in the identification of gene variants.
22. Tokenization can be used to identify patterns in financial data.
23. The tokenization of invoices can enable automated accounting processes.
24. The accuracy of speech recognition systems is affected by the quality of tokenization of spoken language.
25. The use of neural networks can enhance the accuracy of tokenization.
26. Tokenization can be used to identify the content and structure of web pages for web analytics.
27. The efficiency of plagiarism detection software depends on the quality of tokenization of textual content.
28. Tokenization can be used to identify patterns in medical records for disease surveillance purposes.
29. The tokenization of geospatial data can assist in the identification of environmental patterns.
30. Tokenization can be used to classify content in e-commerce sites for product recommendation systems.
Common Phases
1. The data was tokenized into discrete units;
2.
Tokenization is a common technique used in natural language processing;
3. The
tokenization process helps break down the text into smaller units;
4.
Tokenization allows for easier analysis of large datasets;
5. The
tokenization algorithm was optimized to handle multiple languages;
6. The accuracy of the
tokenization greatly affects the performance of the system;
7. The
tokenization process can also be used for image and video analysis;
8.
Tokenization is part of the pre-processing stage for many machine learning models;
9. Sentence
tokenization is used to segment text into individual sentences;
10. The
tokenization of financial data can help identify patterns and anomalies.