June 2020
Intermediate to advanced
382 pages
11h 39m
English
Twitter is said to have almost 7,000 tweets every second on a wide variety of topics. Let's try to build a sentiment analyzer that can capture the emotions of the news from different news sources in real time. We will start by importing the required packages:
Import the needed packages:
import tweepy,json,timeimport numpy as npimport pandas as pdimport matplotlib.pyplot as pltfrom vaderSentiment.vaderSentiment import SentimentIntensityAnalyzeranalyzer = SentimentIntensityAnalyzer()
Note that we are using the following two packages:
VADER sentiment analysis, which stands for Valence Aware Dictionary and Sentiment Reasoner. It is one of the popular rule-based sentiment analysis tools ...