arrow_back Building a Template Engine for Data Visualisation
Python Django. arrow_forward
General Talks: Sentimental Analysis Using PYTHON- USES and Impact
Submitted by madhu vadlamani (@madhuvad) on Saturday, 12 August 2017
Technical level: Beginner
What is sentiment analysis?
Sentiment Analysis is the process of ‘computationally’ determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker.
Why sentiment analysis?
Business: In marketing field companies use it to develop their strategies, to understand customers’ feelings towards products or brand, how people respond to their campaigns or product launches and why consumers don’t buy some products
Key takeaways: This is one of those sessions which takes the real world data and analyse it LIVE which can how system generated opinions matters in ral world if the given statement is true or false
The purpose of the implementation is to be able to automatically classify a tweet as a positive or negative tweet sentiment wise.
The classifier needs to be trained and to do that, we need a list of manually classified tweets. Let’s start with 5 positive tweets and 5 negative tweets.
Python installed system and idea on how twitter works
Best practices are a foundation of better speakers and trainers. I propose myself as I’m proved analytics person+ attitude to analyse data in different patterns makes me feel that Im the best choice.