Our first step is to build a similarity index. We are going to leverage the bag-of-words representation of text, and then use the vector space model to create the similarity index.
Look at the overview diagram of this step:
- Preface
- Association Rule Mining
- Fuzzy Logic Induced Content-Based Recommendation
- Collaborative Filtering
- Taming Time Series Data Using Deep Neural Networks
- Twitter Text Sentiment Classification Using Kernel Density Estimates
- Record Linkage - Stochastic and Machine Learning Approaches
- Streaming Data Clustering Analysis in R
- Analyze and Understand Networks Using R
Building a similarity index
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