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AKTU Text Analytics (BDS073) Syllabus PDF – B.Tech 4th Year
Text Analytics BDS073
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Official AKTU syllabus of Text Analytics (BDS073) for B.Tech 4th Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Text Analytics
Download PDFBDS073 · 3 credits · L-T-P 3-0-0
Course Outcomes
At the end of course , the student will be able to understand
| CO 1 | Engage in continuous reflective learning in the context of technology and scientific advancement. | K2 |
| CO 2 | To learn understand the use of text analytics and Processing | K2, K3 |
| CO 3 | To understand the role of Text mining modeling using NLTK | K3 , K4 |
| CO 4 | To Introduce Speech Production And Related Parameters Of Speech. | K2 , K3 |
| CO 5 | To Show The Computation And Use Of Techniques Such As Short Time Fourier Transform, Linear Predictive Coefficients And Other Coefficients In The Analysis Of Speech. | K2 , K4 |
Course Content
L-T-P: 3-0-0
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | Introductory overview of Text Mining , Introductory Thoughts , Data Mining vs. Text Mining ,Text Mining and Text Characteristics , Predictive Text Analytics ,Text Mining Problems ,Prediction & Evaluation | 08 |
| II | Text mining modeling using NLTK , Text Corpus , Sentence Tokenization , Word Tokenization , Removing special Characters , Expanding contractions, Removing Stopwords , Correcting words: repeated characters , Stemming & lemmatization ,Part of Speech Tagging. | 08 |
| III | Feature Extraction, Bag of words model, TF-IDF model, Text classification problem, Building a classifier using support vector machine. | 08 |
| IV | Introduction to natural language processing (NLP) Linguistics Essentials. Foundations of text processing: tokenization, stemming, stopwords, lemmatization, part-of-speech tagging, syntactic parsing. | 08 |
| V | Word Level Analysis : Unsmoothed N-grams, Evaluating N-grams, Smoothing, Interpolation and Backoff – Word Classes, Part-of-Speech Tagging, Rule-based, Stochastic and Transformation-based tagging, Issues in PoS tagging – Hidden Markov and Maximum Entropy models. | 08 |
Text Books
- Fundamentals of Predictive Text Mining by Sholom M. Weiss, Nitin Indurkhya, & Tong Zhang (2010/2015)
- Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from Your Data by Dipanjan Sarkar (2016)
- Daniel Jurafsky, James H. Martin―Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech, Pearson Publication, 2014.
- Steven Bird, Ewan Klein and Edward Loper, ―Natural Language Processing with Python, First Edition, OReilly Media, 2009.
- Lawrence Rabiner And Biing-Hwang Juang, “Fundamentals Of Speech Recognition”, Pearson Education, 2003.
- Daniel Jurafsky And James H Martin, “Speech And Language Processing – An Introduction To Natural Language Processing, Computational Linguistics, And Speech Recognition”, Pearson Education, 2002.
- Frederick Jelinek, “Statistical Methods Of Speech Recognition”, MIT Press, 1997.
- Breck Baldwin, ―Language Processing with Java and LingPipe Cookbook, Atlantic Publisher, 2015.
- Richard M Reese, ―Natural Language Processing with Java, OReilly Media, 2015. Introductory overview of Text Mining , Introductory Thoughts , Data Mining vs. Text Mining ,Text Mining and Text Characteristics , Predictive Text Analytics ,Text Mining Problems ,Prediction & Evaluation
- Fundamentals of Predictive Text Mining by Sholom M. Weiss, Nitin Indurkhya, & Tong Zhang (2010/2015)
- Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from Your Data by Dipanjan Sarkar (2016)
- Daniel Jurafsky, James H. Martin―Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech, Pearson Publication, 2014.
- Steven Bird, Ewan Klein and Edward Loper, ―Natural Language Processing with Python, First Edition, OReilly Media, 2009.
- Lawrence Rabiner And Biing-Hwang Juang, “Fundamentals Of Speech Recognition”, Pearson Education, 2003.
- Daniel Jurafsky And James H Martin, “Speech And Language Processing – An Introduction To Natural Language Processing, Computational Linguistics, And Speech Recognition”, Pearson Education, 2002.
- Frederick Jelinek, “Statistical Methods Of Speech Recognition”, MIT Press, 1997.
- Breck Baldwin, ―Language Processing with Java and LingPipe Cookbook, Atlantic Publisher, 2015.
- Richard M Reese, ―Natural Language Processing with Java, OReilly Media, 2015.
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