Notes:
Regular expressions (often shortened to “regex” or “regexp”) are a powerful tool for processing and analyzing text. They are a type of pattern-matching language that is used to search for and manipulate specific patterns of characters within a body of text.
Regular expressions are commonly used in natural language processing (NLP) and other text-processing applications, as they provide a flexible and efficient way to search for and manipulate text. They are particularly useful for tasks such as identifying specific words or phrases within a text, extracting specific pieces of information from a text, or replacing certain patterns of characters with other characters.
Regular expressions are made up of a combination of characters and special symbols, and they are typically used in combination with a regex engine or other software tool that is capable of interpreting and executing regex patterns. By using regular expressions, NLP algorithms and other text-processing applications can quickly and efficiently search for and manipulate specific patterns of characters within a text.
Overall, regular expressions are a powerful and versatile tool for processing and analyzing text. They are widely used in natural language processing and other text-processing applications, and they provide a flexible and efficient way to search for and manipulate specific patterns of characters within a text.
Resources:
- sublimetext.com .. a sophisticated text editor for code, markup and prose
Wikipedia:
See also:
RegEx & Dialog Systems 2017 | Stanford Tregex
- DynamoBIM Python Beginner’s Guide Search Text with Regular Expressions.
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- Java Regex: Finding Ocurrences, Capturing, Replacing text.
- How to extract specific values from the text | Java Regex | Java Regular Expressions | Regex in java
- DynoStudio – 3.7 Text input validation via regular expressions
- NLTK Text Processing 13 – Regular Expression Replacer
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- JavaScript: How to SIFT THROUGH TEXT with REGULAR EXPRESSIONS || freeCodeCamp
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- FreeCodeCamp – bug in ‘Sift through Text with Regular Expressions’
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- Pattern matching in sublime text with regex
- Finding Text With Regular Expressions
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- Sublime Text 3: Regular Expression Search
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- Regular Expressions With Mike McMillan – (Chap 4 / Sec 1) – Modifying Text
- Regular Expressions With Mike McMillan – (Chap 3 / Sec 7) – Matching Text
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- How to Test using Regular Expression in QTP Example video (Text checkpoint)
- RegEx to Clean Text
- With a bit of RegEx knowledge and Sublime Text…
- PENTAHO DATA INTEGRATION – Reading multiple text files (RegEx)
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- Split Text into Columns with RegEX (MS Word), Silent Demo
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- Sublime Text 2 tutorial part 25: Regular Expressions in Sublime
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- Search and Replace Text Using Regular Expressions in Notepad++
- Regex in your Text editor
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