LANGUAGE PROCESSING 2 - FINAL PROJECT

SENTIMENT ANALYSIS ON TWITTER DATASET

NOTE ON RUNNING THE CODE

The code is split across the 5 notebooks. Run them in order.

In some cases the models and results are stored in the different files. The notebook will inform you.

To be run on python 3.6

Libraries:

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints		.ipynb_checkpoints
class_reports		class_reports
conf_matrices		conf_matrices
models		models
1-exploration.ipynb		1-exploration.ipynb
2-models.ipynb		2-models.ipynb
3-word-embeddings.ipynb		3-word-embeddings.ipynb
4-quantitative.ipynb		4-quantitative.ipynb
5-qualitative.ipynb		5-qualitative.ipynb
CristianMitroi-LP2-DidYouHaveAPleasantFlight.pdf		CristianMitroi-LP2-DidYouHaveAPleasantFlight.pdf
README.md		README.md
basiccleaner.py		basiccleaner.py
data-20.d2v		data-20.d2v
data.csv		data.csv
data.txt		data.txt
part4.csv		part4.csv
stemmercleaner.py		stemmercleaner.py
x-stemmer.csv		x-stemmer.csv
y.csv		y.csv

cristianmtr/LP2-DidYouHaveAPleasantFlight