FundMyLife Convolution Neural Network and mLSTMS
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Using Convolution Neural Networks, fundMyLife classifies financial questions posed by our users. And through our sentiment analysis module tracks user satisfaction during the fact finding phase.
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FundMyLife Convolution Neural Network and mLSTMS
- 1. Connecting Customers and Financial Advisers using Deep Learning Deep Learning in Finance Summit 28th April 2017
- 2. Problem
- 3. Problem Statement • How do consumers know which financial services to use for each life stage? • Who can consumers ask when they do not know anything about loans, credits, savings, interests etc.?
- 4. Solution
- 5. Agenda of Talk • Using NLP to predict question tags to match user to the right financial advisers • Using sentiment analysis to score questions and improve matching
- 6. Schematic Overview of fML DL Questions Tag Prediction Sentiment Analysis External Validation Training Internal Validation word2vec GloVE Single Layer Multiplicative LSTM Output OutputCNN Personal Finance Insurance
- 7. Using NLP to match users to advisers AXA GE AIA Insurance A Insurance A Insurance A “Insurance A” Tag Prediction
- 8. • Tagged questions from online financial advisory platforms • fundMyLife • ConsultWho (Singaporean Financial Advisory Q&A Platform) • NerdWallet (American Financial Advisory Q&A Platform) • n = 20,000 NLP Dataset
- 9. • Similar to 20 newsgroup dataset problem* • Used Word embeddings (word2vec nn)/(GloVe nmf) instead of one-hot encoding • Framework: Keras 2.0.2 (Tensorflow 1.0) *Lang, K. (1995). NewsWeeder : Learning to Filter Netnews ( To appear in ML 95 ). In Proceedings of the 12th International Machine Learning Conference (ML95). http://doi.org/10.1.1.22.6286 Brief Implementation Details
- 10. Architecture - 1D CNN with word embedding • Hyperparameters • 4 merged ngrams of width 3, 5, 7, 9 convolution(ngrams)->maxpool->dropout • 300 feature maps each embedded word vector • Datasets (average sentence length ~ 40; 90th Percentile 90 words)
- 11. Results Dataset Accuracy MAE* NerdWallet 92.97% 0.0775 ConsultWho 75.58% 0.2504 fundMyLife 80.00% 0.2026 *Mean absolute error
- 12. Sentiment analysis to score questions and advisers 0.1103234 Sentiment Scoring Monitor sentiment change over time between adviser and user
- 13. Results "Exclusion due to fibroid or cysts?. I would like to know can the insurance company exclude me from disorder of uterus if I have fibroid or cysts? this is really unfair for me and I am still young…"
- 15. • Kim, Y. (2014). Convolutional Neural Networks for Sentence Classification. arXiv: 1408.5882. • Lang, K. (1995). Newsweeder: Learning to filter netnews. Proceedings of the 12th international conference on machine learning. • Radford, A., Rafal J., Ilya S. (2017) Learning to Generate Reviews and Discovering Sentiment. arXiv:1704.01444. References