Twitter Sentiment Analysis using 5 Machine learning Techniques
1. Twitter data is collected for topic “apple” and stored as twitter.json file. The data will be added in the same file for execution of Twitterdata.py
2. Collected tweets from json file is extracted stored as tweet.csv
data extracted from each tweet are
More 1000 tweets are collected
3. 5 machine learning techniques were applied
4.Random forest and
Plots are arrived
For the taken dataset, x-train and x-test and y-train & y-test are arrived.
from which te error rate is calculated for all techniques
4. Accuracy for all techniques is arrived and plotted.