Natural Language Processing (NLP) is a field that lets machines understand and create human language. Tokenization is key in NLP. It breaks down text into smaller parts called tokens. These tokens can be words, characters, or parts of words. Tokenization is vital because it turns raw text into a format machines can work with. It…
Transformer models have changed the game in natural language processing (NLP). They excel in tasks like machine translation and text generation. These models use attention mechanisms to understand word relationships, processing sequences in parallel. This approach has led to top results in many NLP tasks, changing how AI interacts with and creates human language. At…
In today’s digital world, understanding text data is key for businesses. Sentiment analysis, or opinion mining, helps find and sort out feelings in text. It lets companies know what people think about their products or services by reading their emotions and opinions. Sentiment analysis uses NLP to figure out the mood of text, like if…
