NLP algorithms can perform topic modelling, which allows the discovery and subsequent grouping of multiple words related to a specific topic generated through machine learning. These generated words can then be used for your product’s listing, increasing your chances of attracting new customers. Manag...
While supervised and unsupervised learning, and specifically deep learning, are now widely used for modelling human language, there’s also a need for syntactic and semantic understanding and domain expertise that are not necessarily present in these machine learning approaches. NLP is important because...
2.3 Topic modelling and coherence score Topic modelling is a popular and important unsupervised machine learning and natural language processing (NLP) algorithm. It is a tool designed to analyse and extract hidden topics from large datasets, in this case, Twitter tweets, which cannot easily be read...
Natural Language Generationis the production of human language content through software. It transforms data into a language translation that we can understand. It is often used in response to Natural Language Understanding processes. An example might be using a voice assistant to answer a query. The...
Sentiment analysis is the investigation of statements in terms of their — as the name suggests —sentiment. In essence, it consists ofdetermining whether a portion of text has a positive, negative, or neutral attitudetowards a certain topic. ...
{SoftwareFrameworkforTopicModellingwithLargeCorpora}},author={Radim{\vR}eh{\ru}{\vr}ekandPetrSojka},booktitle={{ProceedingsoftheLREC2010WorkshoponNewChallengesforNLPFrameworks}},pages={45--50},year=2010,month=May,day=22,publisher={ELRA},address={Valletta,Malta},note={\url{http://is.muni....
In the majority of these instances, AI is as accurate as or sometimes even superior to medical doctors. Conclusions: AI techniques have the potential to revolutionize the diagnosis, treatment, and monitoring of urologic cancers. The use of AI in urooncology care is expected to increase in the ...
The Cognitive Modelling Approach The Law of Thought Approach The Rational Agent Approach Let’s take a detailed look at how these approaches perform: What is the Turing Test in Artificial Intelligence? The basis of the Turing Test is that the Artificial Intelligence entity should be able to hold...
The linear piece, on the other hand, is capable of “memorizing” simple relationships that may only occur a handful of times in the training set. In combination, these two representation channels often end up providing more modelling power than either on its own. NVIDIA has worked with many...
A master’s student who is still not quite sure what data science is… Follow More from Theo Lebryk and Towards Data Science Theo Lebryk in Towards Data Science Introduction to the Structural Topic Model (STM) A unique way to use topic modelling for social science research Apr 18, 2021 St...