Text Mining

Text Mining is the process of deriving high-quality information from text using software tools that identify and extract patterns and trends. Coursera's Text Mining catalogue equips you with the necessary skills to manipulate, manage, and analyze textual data. You'll learn about various techniques such as tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, and sentiment analysis. By the end of your learning journey, you'll be adept at identifying and extracting valuable insights from unstructured text data, equipping you to make informed decisions in fields such as marketing, finance, healthcare, and social media analytics.
43credentials
3online degrees
141courses

Explore the Text Mining Course Catalog

  • Status: Preview

    Skills you'll gain: Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining

  • Status: New
    Status: Free Trial

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Data Visualization, Descriptive Statistics, Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Programming Principles, Python Programming, Data Analysis

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining

  • Skills you'll gain: Semantic Web, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Generative AI, Text Mining, Large Language Modeling, Natural Language Processing, Google Cloud Platform, Responsible AI, Scalability, Algorithms

  • Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Statistical Machine Learning, Machine Learning, Embedded Systems, Embedded Software, Machine Learning Algorithms, Distributed Computing, Generative AI, Image Analysis, Software Design, Hardware Design, Computer Vision, Electrical and Computer Engineering, Engineering Analysis, Student Support and Services, Student Services, Text Mining, Digital Communications, Electrical Engineering

  • Ball State University

    Skills you'll gain: Data Ethics, Machine Learning Algorithms, Supervised Learning, SQL, Unsupervised Learning, Graph Theory, Database Systems, Database Management Systems, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Statistical Software, R Programming, Artificial Intelligence, Natural Language Processing

  • Skills you'll gain: Full-Stack Web Development, Data Ethics, Machine Learning Algorithms, File Systems, SQL, Graph Theory, Database Systems, Software Development Methodologies, Database Management Systems, Statistical Methods, Data Wrangling, Software Engineering, Theoretical Computer Science, Application Security, Cryptography, Object Oriented Programming (OOP), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Natural Language Processing