This page is under construction. The schedule may change and the slides will be updated during the course.

num Topic Resources

1 Introduction to text mining, Course Organisation pdf
2 Text classification, tf.idf pdf
3 Python, python for tf.idf, NB, LR, KNN pdf, lecture-tfidf.ipynb, 4docs.csv,
lecture-simple-text-classification.ipynb, simple-review.csv
4 word embedding, word2Vec, CBOW, Skipgram pdf, visualisation at https://ronxin.github.io/wevi/
5 CNN for text classification pdf, lecture-CNN-embeddings.ipynb
6 Parameters, Python implementation, train embedding pdf, basic_text_classifiaction.ipynb
7 text clustering HAC pdf
8 Kmeans, DBSCAN pdf
9 STC, opinion mining, information extraction pdf
10 Recommender Systems pdf
11 Content based Recommender systems pdf
12 Information Retrieval, Personalised Search, Evaluation pdf
13 Google and PageRank pdf
14 Query Expansion and Natural Language Processing pdf

Presentation sign up

week 2 Thursday, 14 March, topics related to text classification or clustering, such as new algorithms, deep learning models(CNN, RNN) or their applications
sign up Daniel Hardie, Sean Stevenson, Sean Hone, Dylan Kumar, Andrew McGhie, Brandon Scott-Hill, ..
week 4 Thursday, 28 March, topics related to text representation such as word2vec, word embedding, word rank, new measures for word similarity
Sign up Alex Mitchell, Rhaz Solomon, Daniel Kahu, Dylan Chong
week 6 Thursday, 11 April, topics related to clustering algorithms, opinion mining, information extraction
Sign up Peter Scriven, Daniel Ko, Yi Lim, Jacob Mark-Bradnock, Shaun Burnell, Josh Weir
week 8 Thursday, 9 may, topics related to recommender systems, such as the system used by Netflix, Amonzon, youTube, etc.
sign up Lei Yang, Jack McKenzie, Daniel V, Nicholas, Rachel, David Hack
week10 Thursday, 23 May, topics related to information retrieval, query expansion, personalised search, such as new search engines, new web services.
Sign up yingLiang Shao, Juhini Desai, Cameron Hopkinson, Aaron Lee, Will Pearson ..
week12 Thursday, 6 June, other topics including machine translation, natural language processing
Sign up .Jaime, Brandon M, Taniya, Man Wui, Zhancheng Gan, Shweta Mehta, Shaolin Wang, Vincent Yu

Topic attachments
I Attachment Action Size Date Who Comment
lecture-CNN-embeddings.ipynbipynb lecture-CNN-embeddings.ipynb manage 826 K 21 Mar 2019 - 09:55 Main.xgao  
lecture-CNN-embeddings.py.txttxt lecture-CNN-embeddings.py.txt manage 4 K 21 Mar 2019 - 10:03 Main.xgao  
part1.pptxpptx part1.pptx manage 6 MB 01 Apr 2019 - 06:42 Main.xgao  
part3.pptxpptx part3.pptx manage 4 MB 30 May 2019 - 07:31 Main.xgao  
week3-4-python.pdfpdf week3-4-python.pdf manage 449 K 25 Mar 2019 - 07:48 Main.xgao  
week3-4.pdfpdf week3-4.pdf manage 674 K 18 Mar 2019 - 07:01 Main.xgao  
week3-4.pptxpptx week3-4.pptx manage 5 MB 25 Mar 2019 - 07:47 Main.xgao  
week5-6-HAC.pdfpdf week5-6-HAC.pdf manage 691 K 01 Apr 2019 - 14:59 Main.xgao  
week5-6-Kmeans-DBSCAN.pdfpdf week5-6-Kmeans-DBSCAN.pdf manage 791 K 04 Apr 2019 - 11:00 Main.xgao  
week5-6.pptxpptx week5-6.pptx manage 688 K 08 Apr 2019 - 12:14 Main.xgao  
week7-contentBased.pdfpdf week7-contentBased.pdf manage 354 K 02 May 2019 - 15:51 Main.xgao