Text and Voice Conversion for Machine Recognition Using NLP

Recently, Natural Language Processing has drawn a lot of interest for its ability to computationally represent and analyze human language. The current paradigm of Information Technology makes use of natural language—the language we use every day for communication—for human–computer interaction. In recent times, NLP has drawn a lot of interest for its ability to compute a- tionally represent and analyze human language. Text present and speech deliver on various medias are unstructured in nature so we must perform data processing, text normalization, sentence segmentation, tokenization, stemming, lemmatization, bag of words, and finally, using TF-IDF, to see how words will be converted to numbers. In this work, we demonstrate the thorough processing of how, after receiving the input in the form of natural language, it transformed it into numbers using a variety of NLP techniques so that the computer can comprehend what to do next.