Lessons Learned
Technical:
- Embeddings and advanced NLP pre-processing tecniques
- Latest NLP deep learning model such as BERT
Tools:
- Selenium
- BERT
- Google Colab
Soft Skills:
- Working with a team remotely
Achievement Highlights
- Wrote automated web scraping scripts to collect more than 8000 posts from Amazon discourse forum
- Implemented XGBoost and LSTM to classify topics on Amazon forum into their corresponding categories
List of Meetings/Training Attended
- All team meetings
Goals for the Coming Week
- Finalize the BERT model and determine the best one for the classification task
Detailed Statement of Tasks Done
- Among all basic models, the logistic regression model was the best one to classify the topics because of its high accuracy and short running time. Although I tried to optimize my LSTM classifier, the amount of time and effort invested was not worth it.
Request Change of Role
Although I am comfortable with my participant role, I am interested in taking up more responsibility