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- The tokenization of historical documents can assist in digital archiving efforts.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