Samuel Morris
Hi, I'm Sam Morris a third year student at The University of Manchester studying Computer Science.
Currently on the search for an Industrial placement from August 2023.
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Classifying and Clustering Amazon Product Reviews
Clustering (Task 1)
Cluster the top 50 words and the reverse of each of those top 50 words, e.g., half of the occurrences of “canon’’ will be transformed into “nonac”, in order to test clustering accuracy.
Technologies Used
- Python & Jupyter Notebook
- NLTK, scikit-learn, and NumPy
Achievements
- Clustering Accuracy of 65%-70%
- Mark 10/13
*For more information see the coursework2-report.pdf section Task 1 (on GitHub)
Classifying
Using the prelabelled corpus build and train a neural network model to classify positive and negative reviews. I created a bi-directional LSTM model to solve the task.
Technologies Used
- Python & Jupyter Notebook
- NLTK, tenserflow, and NumPy
Achievements
- Accuracy of 73.4% with a low standard deviation of 0.017
- Mark 12/12
*For more information see the coursework2-report.pdf section Task 2 (on GitHub)