Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Exploration of Sentiment Analysis using Lexicon and Machine-Learning Based Methods
This repo provides the submission entry for an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group using techniques learned in class to classify text in identifying positive or negative sentiment.
Data for this in-class competition comes from the Sentiment140 dataset where the training and test data consists of randomly sampled 10% and 5% of the Sentiment140 dataset.
- Text Pre-processing
- VADER (a VALENCE based sentiment analyzer)
- Naive Bayes
- Linear SVM (Support Vector Machine)
- Decision Tree
- Random Forest
- Extra Trees
- SVC
Getting started
Open SentimentAnalysis.ipynb on a jupyter notebook environment. Alternatively, you can view the codes in Google Colab here. The notebook consists of further technical details.
Improvements
Could potentially explore the use of Deep Learning Techniques such as RNN and/or LSTM for sentiment analysis