SentimentAnalysis

Description:

An on going project of sentiment analysis using Machine Learning. Current state:

• SVM ML algorithm trained on synthetic sentences containing smile and frown emojis to gauge sentiment (positive, negative, neutral)

Version and Info:

• python version: 3.6.6/3.7.2
• imports:

import pickle, re, csv, math, pandas
from pandas.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.svm import SVC

• training and final models are included in the 2 .sav files in Models/

Running program:

1. Update python version (IF APPLICABLE)
2. Use pip/conda to install any python packages (IF APPLICABLE)
3. Run tester.py

Note: if you want to test the training of the model, run train.py