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
- Personal project where I perform some analytics (including Sentiment Analysis) over a Twitter Stream using Big Data Technologies of the H…☆20Updated last year
- classify crime into different categories using PySpark☆22Updated 5 years ago
- A guide for binary class sentiment analysis of tweets.☆95Updated 6 years ago
- ETL (Extract, Transform and Load) with the Spark Python API (PySpark) and Hadoop Distributed File System (HDFS)☆15Updated 6 years ago
- My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…☆27Updated 3 years 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…☆16Updated 3 years ago
- Course included such topics, as Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Data Analysis (SDA), Data Collection an…☆11Updated 2 years ago
- Sentiment analysis dashboard for Twitter hashtags☆102Updated 9 months ago
- This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either …☆42Updated 4 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.