While a lot of research has been devoted to analyzing the theoretical basis of word embeddings, not as much effort has gone towards examining the limitations of using them in production environments Quick intro. Word embeddings are essentially a way to convert text...
The following practices will help you design a great conversation between your chatbots and your clients: Transparency Avoid using an excess of predetermined links and buttons Use an NLP middleware approach Include politeness and small talk Tolerate typos and slightly...
Arabic is a complex language for NLP tasks, even for simple ones like lemmatization. There are several reasons for this: Arabic creates words based on roots: for example, the word کتاب (kitab, “book”) is derived from ك ت ب (k t b). Many related words are derived from...
Stemming and lemmatization are methods used by search engines and chatbots to analyze the meaning behind a word. Stemming uses the stem of the word, while lemmatization uses the context in which the word is being used. We’ll later go into more detailed...
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