Professional Certificate in Modern Text Analytics
-- ViewingNowThe Professional Certificate in Modern Text Analytics is a comprehensive course that empowers learners with the essential skills required to excel in the rapidly growing field of data analytics. This program focuses on text analytics, a critical area that involves deriving meaningful insights from unstructured text data.
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โข Introduction to Text Analytics: Overview of text analytics, its importance, and applications.
โข Data Preprocessing: Cleaning and preparing text data for analysis, including tokenization, stemming, and lemmatization.
โข Natural Language Processing (NLP): Understanding NLP techniques, such as part-of-speech tagging, named entity recognition, and dependency parsing.
โข Text Vectorization: Techniques for converting text data into numerical representations, including bag-of-words, TF-IDF, and word embeddings.
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โข Deep Learning for Text Analytics: Introduction to deep learning techniques, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and transformers, for text analysis.
โข Text Classification: Techniques and algorithms for categorizing text data into predefined categories.
โข Sentiment Analysis: Analyzing text data to determine the sentiment or emotion expressed.
โข Topic Modeling: Identifying and extracting topics from text data, such as with Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF).
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