Archives for natural language processing - Page 2
Doc2Vec is quite similar to Word2Vec models where Doc2Vec proposes a method for getting word embedding from paragraphs of the corpus using unsupervised learning algorithms.
Deepmind's AlphaCode made headlines by testing in the top 54% of human coders. Can GitHub's Copilot keep up with AlphaCode's automated programming?
Neural Search is changing the world of search engines by using deep learning to search more than just text.
To successfully implement AI, NLP solutions in the insurance segment, companies should adopt a case prioritisation framework based on size, wider applicability, and complexity.
We have seen many recent advancements in the field of data science which have made the task of practitioners very simple. BERT is such an advanced development in this field which has performed many complex tasks with very little effort. When it comes to complex text-based modelling, BERTs are preferred due to their ease of […]
For text data, the term-document matrix is a kind of representation that helps in converting text data into mathematical matrices
Natural Language Processing includes the analysing of data to extract and process meaningful information.
Natural Language Processing includes the analysing of data to extract and process meaningful information.
Natural Language Processing includes the analysing of data to extract and process meaningful information.
Chemical engineering and applied mathematics are very rare combinations. Sumanta Mukherjee, a research scientist at IBM, possesses this rare broad knowledge base. Sumanta is an experienced research scientist with a track record of accomplishments in the information technology and services industries. In addition, Sumanta is a researcher with expertise in machine learning, data science, mathematical…