π Natural Language Processing (NLP) is the process of enabling computers to understand and process human language.
π€ NLP begins with unstructured text, which is transformed into structured data that computers can analyze.
π‘ NLP has high utility in various AI applications and can be utilized to enhance inventing processes.
π NLP translates between structured and unstructured data.
π‘ NLU focuses on converting unstructured data to structured data.
π NLP is used in machine translation to understand the context of sentences.
π NLP is important in translation to avoid misinterpretations and preserve the intended meaning.
π¬ Virtual assistants and chatbots utilize NLP to understand and respond to human language.
π Sentiment analysis is another application of NLP to determine the positive or negative emotions expressed in text.
β¨ NLP (Natural Language Processing) is a field that focuses on understanding and analyzing human language.
π§ NLP can be applied to tasks such as sentiment analysis, sarcasm detection, and spam detection.
βοΈ NLP utilizes a variety of tools and algorithms to process and analyze unstructured text.
π NLP (Natural Language Processing) involves working with tokens and stems.
π± Stemming is a technique to derive the word stem by removing prefixes and suffixes from tokens.
π Lemmatization uses dictionary definitions to derive the root or lemma of a token.
π Part of speech tagging identifies the function of a word based on its context within a sentence.
π₯ Named entity recognition identifies entities associated with specific tokens, such as locations or names.
π» These tools are part of the process of converting unstructured human speech into structured data that can be understood by computers.
π NLP is a field of study that focuses on how computers can understand and process human language.
π It involves techniques like text classification, sentiment analysis, and machine translation.
π‘ NLP has various applications in areas like customer support, virtual assistants, and language translation.
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