The goal of this task is to classify the sentiment (emotions/feelings/opinions) expressed in Twitter Messages about certain companies. The aim of this task is to determine if the message;
Is good (i.e. positive) - the message content indicates that the stock price should go UP - For example: "XYZ looks like a great buy" OR "long $ABC"
Is bad (i.e. negative) - the message content indicates that the stock price should go DOWN - For example "Bearish conditions ahead" OR "$ABC getting hammered now" OR "Short $XYZ" OR "I think selling"
Is Neutral - no sentiment/opinion/feelings are express about the company/stock or market. These are statements of fact. For example statements of facts or links to external websites. "Weekly Watch-list [url removed, login to view] " OR "$ABC reports earnings on Tue May 3, after the market closes."
Cant tell - it is not clear from the message content alone if their is positive/negative sentiment expressed in the message and further information is required (i.e. knowledge of the stock price at that time or the historical stock positions of the user).
Note that some messages may contain technical stock market/trading/charting jargon. To classify these messages these words need to be understood. Some Google Searching may be required if you are not familiar with these terms - see this Glossary as it contains most terms - [url removed, login to view]:glossary_a
There are positions for multiple bidders as we need many messages classified. Each set contains 2500 Twitter messages. As Twitter messages are very small (less than 140 characters), in our experience it takes around 1 hour to complete 1500 messages, so this set will be around 1.5-2 hours work for someone familiar with financial/trading jargon.
The messages are contained within an Excel sheet so this software is required.
Please note that milestone payments will be made and the data sets contain items which have been pre-vetted by the expert team to ensure quality of the results.
13 freelancers are bidding on average $37 for this job
Hi, I would like to work on your project. I have previous experience working on such classification projects on another crowd sourcing site. Waiting to work with you.
I am a Sub-broker for a Leading Stock broking company in India. i am in this field from last 4 years. I am good at reading Technical Charts, i can judge the movement of stocks using technical indicators.