sachink382 / Twitter-Sentiment-Analysis---Analytics-Vidhya
Problem Statement The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets. Formally, given a training sample of tweets and labels, where label '1'…
☆13Updated 5 years ago
Alternatives and similar repositories for Twitter-Sentiment-Analysis---Analytics-Vidhya:
Users that are interested in Twitter-Sentiment-Analysis---Analytics-Vidhya are comparing it to the libraries listed below
- Twitter Sentiment Analysis☆26Updated 3 years ago
- You Are What You Tweet: Detecting Depression in Social Media via Twitter Usage☆11Updated 2 years ago
- classify crime into different categories using PySpark☆22Updated 5 years ago
- A portfolio of useful Tableau visualizations and dashboard are located in this repo. The README.md file within this repo contains a summa…☆18Updated 6 years ago
- Personal project where I perform some analytics (including Sentiment Analysis) over a Twitter Stream using Big Data Technologies of the H…☆21Updated last year
- Architecture of Streaming Twitter Data into Apache Kafka cluster, performing simple sentiment analysis with afinn module, storing the dat…☆20Updated 5 years ago
- Udacity Data Engineer Nano Degree - Project-3 (Data Warehouse)☆22Updated 5 years ago
- My solutions for the Udacity Data Engineering Nanodegree☆33Updated 5 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆31Updated 3 years ago
- Book Projects☆24Updated 3 years ago
- ETL (Extract, Transform and Load) with the Spark Python API (PySpark) and Hadoop Distributed File System (HDFS)☆15Updated 6 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆41Updated 4 years ago
- Final project for "Predict Future Sales" Kaggle competition. "How to win a data science competition" Coursera course.☆11Updated 6 years ago
- Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm☆10Updated 5 years ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆22Updated 5 years ago
- Flask based web app to diagnose the patient using Python3☆16Updated 9 months ago
- Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.☆20Updated 6 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Repository to maintain all my clutter☆75Updated 3 years ago
- Data science portfolio examples.☆53Updated 4 years ago
- NLP with NLTK for Sentiment analysis amazon Products Reviews☆44Updated 5 months ago
- This is the first project where we worked on apache spark, In this project what we have done is that we downloaded the datasets from KAGG…☆17Updated 3 years ago
- Offered by Deeplearning.ai via Coursera☆32Updated 4 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Resume Ranker is the process of ranking a candidate for a given role based on his or her education, experience and other information obta…☆10Updated 3 years ago
- Loan Default Prediction using PySpark, with jobs scheduled by Apache Airflow and Integration with Spark using Apache Livy☆19Updated 4 years ago
- My Udacity Data Engineer Nano Degree Projects aka Udacity DEND☆16Updated 5 years ago
- A python knowledge-based chatbot application built with Tkinter☆22Updated 3 years ago
- Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups☆16Updated 6 years ago
- Live Training: Market Basket Analysis in Python☆45Updated 4 years ago