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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โข Introduction to Document Analysis Techniques: Overview of the field, its importance and applications
โข Document Classification: Machine learning techniques, text classification algorithms, Naive Bayes, Support Vector Machines (SVM)
โข Information Extraction: Named Entity Recognition (NER), part-of-speech tagging, chunking, parsing
โข Sentiment Analysis: Aspect-based sentiment analysis, opinion mining, natural language processing (NLP)
โข Topic Modeling: Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), visualization
โข Document Clustering: K-means, hierarchical clustering, DBSCAN, silhouette analysis
โข Text Summarization: Extractive vs. abstractive summarization, graph-based methods, neural network models
โข Document Retrieval: Inverted index, TF-IDF, BM25, false document retrieval
โข Document Similarity: Cosine similarity, Jaccard index, Levenshtein distance, Word2Vec
โข Advanced Techniques in Document Analysis: Deep learning methods, transfer learning, BERT, XLNet
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