{"id":5335,"date":"2021-12-15T08:30:17","date_gmt":"2021-12-15T08:30:17","guid":{"rendered":"https:\/\/www.flare-solutions.com\/?p=5335"},"modified":"2021-12-15T08:30:17","modified_gmt":"2021-12-15T08:30:17","slug":"the-difference-between-natural-language-processing-and-technical-language-processing","status":"publish","type":"post","link":"https:\/\/flare-solutions.com\/FS2026\/news\/the-difference-between-natural-language-processing-and-technical-language-processing\/","title":{"rendered":"The Difference Between Natural Language Processing and Technical Language Processing"},"content":{"rendered":"\n
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Natural Language Processing (NLP) and Technical Language Processing (TLP) are two connected innovations that allow us to get a deeper understanding and classification of search terms. These solutions are incredibly useful and empower businesses with better data analysis opportunities<\/a>. <\/p>\n\n\n\n\n\n\n\n

We’re going to take a look at NLP and TLP to understand their benefits and how they can be incorporated into businesses.<\/p>\n\n\n\n

What Is Natural Language Processing (NLP)?<\/strong><\/h2>\n\n\n\n

Natural Language Processing (NLP) is a way to automate the manipulation of natural languages, such as speech or text, through software. NLP uses machine learning to parse and learn keywords and phrases. This raw data is then processed through a number of algorithms, as well as our own grammatical framework and language accentuations, to discern the user\u2019s intent when entering a search term. Although it can be used for language translation purposes, businesses have found other uses for NLP too, such as data analytics.<\/p>\n\n\n\n

The Benefits Of NLP<\/strong><\/h2>\n\n\n\n

There are a host of benefits that NLP can offer businesses, including:<\/p>\n\n\n\n