Oct 2017
2 Mon
3 Tue
4 Wed
5 Thu
6 Fri
7 Sat 09:00 AM – 10:00 AM IST
8 Sun 09:00 AM – 10:00 AM IST
Following are the guidelines for proposal submission
We have three kind of Proposals - General Talks, Lightning Talks and Workshops. Please mention the Proposal type in the Title of the Proposal. Give a Title like Proposal Type : Proposal Title
These are the traditional talk sessions scheduled during the first day of conference. They will be conducted on Day 2 of Conference, Sunday, 8th Oct. The length of these tracks are 45 minutes.
These are short length talks that will be conducted on Day 2 of Conference, Sunday, 8th Oct. The time limit is 5 minutes. But we can extend it depending on number of talks submitted.
As with the talks, we are looking for Workshops that can grow this community at any level. We aim for Workshops that will advance Python, advance this community, and shape the future. Each session runs for 6 full hours plus a break for lunch. There will be 2 workshops going parallely on Day 1 of Conference, Saturday, 7th Oct in the same venue that hosts the main conference. Workshop I is aimed for Begineers while Workshop II is a Advaced Session aimed for Professionals.
These will be the themes and topics
madhu vadlamani
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.
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