"Tokenized" Example Sentences
1. The computer program tokenized the text into individual words.
2. He tokenized the sentence into parts.
3. The data analyst tokenized the dataset into discrete units.
4. She tokenized the code to improve readability.
5. The AI system tokenized the audio for transcription.
6. The programmer needed to tokenize the input for the algorithm.
7. The tokenizer function was used to tokenize the string.
8. The parser relied on the text being properly tokenized.
9. The linguist tokenized the language to identify patterns.
10. The software tokenized the image into pixels.
11. The web application tokenized user inputs for security purposes.
12. The blockchain technology tokenized assets for digital trading.
13. The mathematics professor tokenized the equation for easier comprehension.
14. The marketing team tokenized consumer behavior for analysis.
15. The finance company tokenized the loan process for efficiency.
16. The linguistics textbook covered techniques for tokenizing text.
17. The computer science course taught students how to tokenize code.
18. The psychology research used tokenization to study emotional responses.
19. The political campaign used tokenization to target specific voter groups.
20. The machine learning model tokenized the text corpus for training.
21. The data scientist used tokenization to preprocess the data.
22. The digital marketer used tokenization to track user behavior.
23. The computational linguist tokenized the corpus for analysis.
24. The cybersecurity team used tokenization to protect sensitive information.
25. The natural language processing algorithm tokenized the text for sentiment analysis.
26. The music streaming service tokenized user playlists for personalized recommendations.
27. The insurance company tokenized claims data for efficient processing.
28. The medical research used tokenization to analyze patient records.
29. The social network platform tokenized user profiles for targeted advertising.
30. The e-commerce website tokenized product categories for search optimization.
Common Phases
1.
Tokenized data is easier to analyze;
2. The
tokenized text can be used to train machine learning models;
3. Tokenization is a common pre-processing step in natural language processing;
4. The tokens in the document can be used to extract meaningful information;
5. Tokenization helps in handling big data easily;
6. The
tokenized output can be further refined using advanced techniques;
7. Tokenization is used in information retrieval systems to improve search results;
8. Tokenization is a crucial step in text classification;
9. The resulting
tokenized document can be used for sentiment analysis;
10. Tokenization is used in chatbots to understand user queries better.