Twitter scheduling deals with planning the execution of a set of actions, i.e., tweet, like, retweet, follow, and unfollow, in a specified time frame. These actions are aimed at human consumption and, should help to increase the productivity of a social media account manager that has to only validate the proposed plan instead of building it from scratch.
The proposed activity aims at devising, developing and testing on Twitter a complete scheduling solution based on machine learning techniques that, given in input a target Twitter account, returns as output a timeline of actions to perform specifically tailored for consumption by the social media manager. The intern is expected to implement the solution as a ReST service, in Java and Python, using the Twitter API for data gathering, and exploiting machine learning to schedule the sequence of actions. Evaluation by real users will be possible through integration with an existing tool for Twitter account automation developed at FBK (Pokedem – https://pokedem.com/).
Internship goals
- to participate to the R&D activities of a leading EU research institute;
- to acquire advanced knowledge and skills in areas such as Machine Learning;
- to learn effectively using the Twitter API, representative of other major social media APIs;
- to improve software development skills.
Required knowledge and skills
- enrollment in Bsc or Msc degree program in Computer Science or related field;
- solid programming skills in Java and Python;
- knowledge of machine learning;
- knowledge of basic concepts of web APIs (e.g., HTTP, JSON, ReST principles);
- basic knowledge of Linux, for deployment of developed code;
- English proficiency (spoken and written);
- willingness to study new, challenging topics and technologies;
- problem solving attitude.
Internship info
The position is up to 3 months, based on the planned activities. Extension for a thesis project is also possible. The starting date is flexible, although early applications are welcome. The candidate will be hosted by Future Media (https://ict.fbk.eu/units/hii-fm/), FBK’s Unit dealing with the automation of social activities leveraging Artificial Intelligence.
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