In the first line we import the pandas library, which is a very popular library that makes data manipulation easy. Step 1: We Import the Dataset into our workspace import pandas as pd tweets=pd.read_csv('/content/Tweets.csv') tweets.head()

Enough Talking, Can we get Started Now?Ībsolutely, if this your first time coding or you have no clue hot to approach a NLP project, it’s alright i am going to explain everything from the basics along with the code, because its more interesting that way. These types of models are massively used by Twitter and Facebook, to filter out to say hate speeches, or other unwanted comments on their platforms. We are gonna be analyzing tweets made against an airline, and judging if they are of positive, negative or neutral sentiments. I am going to build a machine learning model that is able to analyze loads of twitter tweets, and be able to judge the sentiments behind the tweets. So what are we doing in the Twitter Sentiment Analysis Project? Your Google Voice assistant, Siri and even google translator are great examples of this. Now this language can be text based or audio based.

And we talk about natural language processing, we basically refer to making computers able to process this language, and more importantly understand it and take actions based on it. It could be Hindi, English, Spanish, anything. Natural language is the language you and I talk in. So without wasting any time let’s get started. I have also attached my YouTube video at the end, in case you are interested in a video explanation. GitHub link for the code and data set can be found at the end of this blog. Okay, so like all my tutorials lets start from the basics as we gradually build up. If you are someone who’s is a complete beginner, or are just interested in executing cool natural Language processing projects, sit tight because this tutorial is for you!

In this tutorial, I am going to guide you through the classic Twitter Sentiment Analysis problem, which I will solve using the NLTK library in Python. Twitter Sentiment Analysis Using Python for Complete Beginners

Tools for data analysis for tweets