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Deep Learning Platforms
Artificial neural networks (ANN) became very popular among data scientists nowadays. Despite the fact that ANNs have been known since the 1940s, their current popularity is due to the emergence of algorithms with modern architecture, such as CNNs (Convolutional deep neural networks) and RNNs (Recurrent neural networks). CNNs and RNNs have shown…
Data Science Usage in Natural Disasters Predictions
Millions of people are affected by natural disasters each year. Wildfires, floods, tornadoes, volcano eruptions, we can continue this list for a long time. Some disasters can last a few seconds, another can last for weeks. But their effects can be felt for decades or even longer, and impact the global economy, infrastructure, agriculture, and human…
Chatbots in NLP
Chatbots or conversational agents are so widespread that no one will be surprised by them anymore. The only thing that is amazing that’s how fast chatbots are getting smarter, more responsive, more useful. Sometimes, you don’t immediately realize that you have a conversation with a robot. So, what are chatbots? Simply, they are a communication…
Sentiment Analysis in NLP
Sentiment analysis has become a new trend in social media monitoring, brand monitoring, product analytics, market research. Like most areas that use artificial intelligence, sentiment analysis (also known as Opinion Mining) is an interdisciplinary field spanning computer science, psychology, social sciences, linguistics, and cognitive science. The…
Emotion Recognition
It is obvious that emotions are peculiar to humans and some social animals, like apes, wolves, crows. Emotion recognition is an important part of the communication between people. The efficiency of humans’ interactions depends on how we can predict the behavior of the other person, and, as a result, adjust or change our behavior. Fear can indicate…
What is Natural Language Processing (NLP)?
When we talk about Natural Language Processing (NLP), it’s about understanding and deriving meaning from human languages by computers. In this formulation, the challenge for NLP seems to be extremely difficult. Average 20-year-old native speaker of American English knows 42,000 words (from 27,000 words for the lowest 5% to 52,000 for the highest…
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