Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python

Overview

Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python

This project is a good starting point for those who have little or no experience with Apache Spark Streaming. We use Twitter data since Twitter provides an API for developers that is easy to access. We present an end-to-end architecture on how to stream data from Twitter, clean it, and apply a simple sentiment analysis model to detect the polarity and subjectivity of each tweet.

Input data: Live tweets with a keyword
Main model: Data preprocessing and apply sentiment analysis on the tweets
Output: A parquet file with all the tweets and their sentiment analysis scores (polarity and subjectivity)

We use Python version 3.7.6 and Spark version 2.4.7. We should be cautious on the versions that we use because different versions of Spark require a different version of Python.

Main Libraries

tweepy: interact with the Twitter Streaming API and create a live data streaming pipeline with Twitter
pyspark: preprocess the twitter data (Python's Spark library)
textblob: apply sentiment analysis on the twitter text data

Instructions

First, run the Part 1: twitter_connection.py and let it continue running.
Then, run the Part 2: sentiment_analysis.py from a different IDE.

Part 1: Send tweets from the Twitter API 

In this part, we use our developer credentials to authenticate and connect to the Twitter API. We also create a TCP socket between Twitter's API and Spark, which waits for the call of the Spark Structured Streaming and then sends the Twitter data. Here, we use Python's Tweepy library for connecting and getting the tweets from the Twitter API. 

Part 2: Tweet preprocessing and sentiment analysis

In this part, we receive the data from the TCP socket and preprocess it with the pyspark library, which is Python's API for Spark. Then, we apply sentiment analysis using textblob, which is Python's library for processing textual data. After sentiment analysis, we save the tweet and the sentiment analysis scores in a parquet file, which is a data storage format.

Owner
Himanshu Kumar singh
Always Passionate to work on Artificial Intelligence technologies. Getting better at AI with each passing day. #TowardsAI
Himanshu Kumar singh
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

PyStan PyStan is a Python interface to Stan, a package for Bayesian inference. StanĀ® is a state-of-the-art platform for statistical modeling and high-

Stan 229 Dec 29, 2022
Spectacular AI SDK fuses data from cameras and IMU sensors and outputs an accurate 6-degree-of-freedom pose of a device.

Spectacular AI SDK examples Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-

Spectacular AI 94 Jan 04, 2023
This python script allows you to manipulate the audience data from Sl.ido surveys

Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat

Pranav Menon 1 Jan 24, 2022
Evaluation of a Monocular Eye Tracking Set-Up

Evaluation of a Monocular Eye Tracking Set-Up As part of my master thesis, I implemented a new state-of-the-art model that is based on the work of Che

Pascal 19 Dec 17, 2022
A tool to compare differences between dataframes and create a differences report in Excel

similarpanda A module to check for differences between pandas Dataframes, and generate a report in Excel format. This is helpful in a workplace settin

Andre Pretorius 9 Sep 15, 2022
Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation

Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation Overview Consider the scenario in which advertisement

Manuel Bressan 2 Nov 18, 2021
Python Project on Pro Data Analysis Track

Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using

Belal Mohammed 0 Nov 10, 2021
A neural-based binary analysis tool

A neural-based binary analysis tool Introduction This directory contains the demo of a neural-based binary analysis tool. We test the framework using

Facebook Research 208 Dec 22, 2022
Incubator for useful bioinformatics code, primarily in Python and R

Collection of useful code related to biological analysis. Much of this is discussed with examples at Blue collar bioinformatics. All code, images and

Brad Chapman 560 Jan 03, 2023
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.

Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.

2 Nov 20, 2021
Multiple Pairwise Comparisons (Post Hoc) Tests in Python

scikit-posthocs is a Python package that provides post hoc tests for pairwise multiple comparisons that are usually performed in statistical data anal

Maksim Terpilowski 264 Dec 30, 2022
Port of dplyr and other related R packages in python, using pipda.

Unlike other similar packages in python that just mimic the piping syntax, datar follows the API designs from the original packages as much as possible, and is tested thoroughly with the cases from t

179 Dec 21, 2022
This is a python script to navigate and extract the FSD50K dataset

FSD50K navigator This is a script I use to navigate the sound dataset from FSK50K.

sweemeng 2 Nov 23, 2021
Weather analysis with Python, SQLite, SQLAlchemy, and Flask

Surf's Up Weather analysis with Python, SQLite, SQLAlchemy, and Flask Overview The purpose of this analysis was to examine weather trends (precipitati

Art Tucker 1 Sep 05, 2021
Pyspark project that able to do joins on the spark data frames.

SPARK JOINS This project is to perform inner, all outer joins and semi joins. create_df.py: load_data.py : helps to put data into Spark data frames. d

Joshua 1 Dec 14, 2021
Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance companies

Insurance-Fraud-Claims Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance com

1 Jan 27, 2022
Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.

Tweetmetric Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile. The

Mathis HAMMEL 29 Oct 18, 2022
Powerful, efficient particle trajectory analysis in scientific Python.

freud Overview The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics

Glotzer Group 195 Dec 20, 2022
OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

Overview OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase

Tom 3 Feb 12, 2022
Synthetic Data Generation for tabular, relational and time series data.

An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github

The Synthetic Data Vault Project 1.2k Jan 07, 2023