Professional Certificate in Document Analysis Techniques: Expert Methods
-- ViewingNowThe Professional Certificate in Document Analysis Techniques: Expert Methods is a comprehensive course designed to equip learners with essential skills in document analysis. This certificate course is crucial in today's digital age, where the ability to extract, analyze, and interpret data from documents is in high demand across various industries.
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⢠Introduction to Document Analysis Techniques: Overview of the field, its importance and applications
⢠Document Classification: Machine learning techniques, text classification algorithms, Naive Bayes, Support Vector Machines (SVM)
⢠Information Extraction: Named Entity Recognition (NER), part-of-speech tagging, chunking, parsing
⢠Sentiment Analysis: Aspect-based sentiment analysis, opinion mining, natural language processing (NLP)
⢠Topic Modeling: Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), visualization
⢠Document Clustering: K-means, hierarchical clustering, DBSCAN, silhouette analysis
⢠Text Summarization: Extractive vs. abstractive summarization, graph-based methods, neural network models
⢠Document Retrieval: Inverted index, TF-IDF, BM25, false document retrieval
⢠Document Similarity: Cosine similarity, Jaccard index, Levenshtein distance, Word2Vec
⢠Advanced Techniques in Document Analysis: Deep learning methods, transfer learning, BERT, XLNet
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