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The NLP-Classifier is a simple natural language classifier that employs a similarity formula to ascertain potential entities within a given text. Its primary purpose resides in serving as a component of a virtual assistant under development, denominated Karen.
While I am cognizant of the limited accuracy of this algorithm, I remain committed to a continuous exploration of diverse methodologies to enhance its efficacy.
Before employing the classifier for practical use, it is imperative to undergo a model training process. To initiate this preparatory phase, access the Trainer module, which will facilitate the necessary steps for model preparation and enhancement.
Upon successfully completing the model training phase, the next crucial step is to test the classifier's performance. Prior to conducting the testing process, it is essential to carefully observe the entry format and other pertinent details, which can be accessed by clicking here.