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How can I use substrings in PHP to filter out non-English cryptocurrency keywords?

Mark KronborgNov 29, 2020 · 5 years ago3 answers

I'm working on a PHP project and I need to filter out non-English cryptocurrency keywords from a given string. How can I use substrings in PHP to achieve this? I want to make sure that only English keywords related to cryptocurrencies are included in the final result.

3 answers

  • James BalestriereJul 25, 2023 · 3 years ago
    Sure thing! To filter out non-English cryptocurrency keywords using substrings in PHP, you can utilize the mb_substr() function. This function allows you to extract a specific portion of a string based on character positions. You can loop through each word in the string, and for each word, check if it contains any non-English characters using regular expressions or language detection libraries. If a word is determined to be non-English, you can exclude it from the final result. Don't forget to handle cases where the word contains special characters or symbols commonly used in cryptocurrencies.
  • Mani2Jul 08, 2024 · 2 years ago
    No worries, mate! If you wanna use substrings in PHP to filter out non-English cryptocurrency keywords, you can go with the mb_substr() function. It's like a magic wand that lets you extract a specific part of a string based on character positions. So, here's the plan: loop through each word in the string, and for every word, check if it's got any non-English characters using fancy regular expressions or language detection libraries. If a word is found to be non-English, just kick it out of the final result. And hey, don't forget to handle those tricky cases where the word's got special characters or symbols used in cryptocurrencies, mate!
  • dreamiesJun 02, 2022 · 4 years ago
    Well, if you're looking to use substrings in PHP to filter out non-English cryptocurrency keywords, you're in luck! One way to do this is by utilizing the mb_substr() function. This handy function allows you to extract specific parts of a string based on character positions. Here's what you can do: iterate through each word in the string, and for each word, check if it contains any non-English characters using regular expressions or language detection libraries. If a word is identified as non-English, simply exclude it from the final result. And oh, don't forget to handle cases where the word includes special characters or symbols commonly used in cryptocurrencies.

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