Advanced Certificate in Text Analysis & Interpretation
-- ViewingNowThe Advanced Certificate in Text Analysis & Interpretation is a comprehensive course designed to enhance your skills in text analysis and interpretation. This course is crucial in today's data-driven world, where businesses generate and collect vast amounts of textual data.
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GBP £ 140
GBP £ 202
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โข Advanced Text Classification: Exploring supervised and unsupervised learning techniques, including Naive Bayes, Support Vector Machines, and deep learning models, to categorize text data.
โข Sentiment Analysis & Opinion Mining: Diving into the extraction, identification, and quantification of subjective information from text data using sentiment analysis and opinion mining techniques.
โข Natural Language Processing (NLP) Fundamentals: Mastering essential NLP concepts, such as tokenization, stemming, lemmatization, part-of-speech tagging, and parsing.
โข Topic Modeling & Latent Dirichlet Allocation (LDA): Learning about topic modeling techniques and LDA for discovering hidden topics in large-scale text corpora.
โข Text Summarization Techniques: Discovering various text summarization methods, from extractive to abstractive, to generate concise summaries of lengthy documents.
โข Semantic Analysis & Named Entity Recognition (NER): Extracting meaning from text data, recognizing named entities, and understanding the relationships between entities.
โข Advanced Information Retrieval: Delving into advanced information retrieval techniques, including query expansion, relevance feedback, and pseudo-relevance feedback.
โข Word Embeddings & Neural Language Models: Exploring the creation and application of word embeddings, such as Word2Vec and GloVe, and neural language models in text analysis.
โข Text Analytics for Social Media: Applying text analysis techniques to social media data, understanding the nuances of social media language, and uncovering insights from social media conversations.
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