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Certificate Programme in Computational Text Analysis
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Course Details
- Introduction to Computational Text Analysis
- Text Preprocessing and Cleaning: Tokenization, Stemming, Lemmatization
- N-grams and Collocations
- Sentiment Analysis and Opinion Mining
- Topic Modeling using Latent Dirichlet Allocation (LDA)
- Word Embeddings and Word2Vec
- Building a Text Classification Model (Naive Bayes, SVM)
- Natural Language Processing (NLP) Libraries and Tools
- Ethical Considerations in Computational Text Analysis
- Applications of Computational Text Analysis
Career Path
Career Role Description Data Scientist (NLP Focus) Develops and implements Natural Language Processing (NLP) algorithms for text analysis, machine learning, and data mining, working with large datasets.
High demand in UK tech.
Computational Linguist Researches and develops computational models of human language, focusing on text analysis and processing.
Strong academic and research background needed.
Text Mining Engineer Designs and builds systems for extracting meaningful information from unstructured text data; crucial for sentiment analysis and information retrieval.
In-demand skillset in finance and marketing.
NLP Consultant Provides expert advice on NLP solutions and strategies for businesses.
Excellent communication and problem-solving skills are essential.
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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