We will extract tweets from trending topic in Kenya and then cluster it to give a meaning to it. We are using python to do this

Import necessary libraries

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from sklearn.cluster import KMeans 
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import PCA
from sklearn.preprocessing import normalize
from sklearn.metrics import pairwise_distances
from mpl_toolkits.mplot3d import axes3d

import nltk
import string

import matplotlib.pyplot as plt