Is the process of identifying and classifying entities (e.g., names of people,

organizations, locations, dates, and more) in text documents

Topic modelling, such as Latent Dirichlet Allocation (LDA), helps identify topics or themes within a

collection of document

This approach involves identifying relationships or connections between entities mentioned in

text

This approach involves determining the emotional tone or sentiment expressed in text, such

as positive, negative, or neutral.

This approach including supervised machine learning algorithms, can be used to

categorize documents or texts into predefined classes or labels

: Information retrieval techniques are used to extract knowledge from unstructured text data by

identifying relevant documents based on keywords or queries

This approach focuses on identifying specific events or incidents mentioned in text, such as natural

disasters, product launches, or political events