This is a private hackathon open to UmojaHack Morocco participants. If you are a university student in Morocco and would like to participate, contact Zindi Ambassador Pr. Imade Benelallam.

Collecting and analyzing customer feedback is critical for improving product and service. However, obtaining that feedback can often prove to be a tricky challenge for many businesses. In Morocco and due to the complexity of our Arabic dialect, banks and insurance need to automate sentiment analysis systems in order to be more consumer centric.

The aim of this challenge is to provide an optimal classifier for sentiment analysis in Arabic dialectal language with reasonable accuracy.

How to prepare for UmojaHack

1. Add your university to your profile. Watch this YouTube video.
2. Practice on a challenge and make your first Zindi submission. Watch this YouTube video.
3. Make a team in preparation for UmojaHack. Watch this YouTube video.

About AIOX Labs (aiox-labs.com)

Our purpose is to become the first African AI as a service platform that allows medium and large companies to leverage AI to solve complex problems efficiently, and bring industry 4.0 to the Moroccan economy and the African continent. AIOX Labs team members have decades of research and engineering experience. Our algorithms are built upon cutting edge constraint programming and Machine Learning breakthroughs.

This is a private hackathon open to UmojaHack Morocco participants. If you are a university student in Morocco and would like to participate, contact Zindi Ambassador Imade Benelallam.

Teams and collaboration

You may participate in this competition as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the highest number of submissions among team members at team formation. Prizes are transferred only to the individual players or to the team leader.

Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be disqualified.

Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).

Datasets and packages

The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.

You may use only the datasets provided for this competition. Automated machine learning tools such as automl are not permitted.

You may use pretrained models as long as they are openly available to everyone and if you post them on the discussion forum.

The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.

You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.

Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.

Submissions and winning

You may make a maximum of 100 submissions per day. Your highest-scoring solution on the private leaderboard at the end of the competition will be the one by which you are judged.

Zindi maintains a public leaderboard and a private leaderboard for each competition. The Public Leaderboard includes approximately 50% of the test dataset. While the competition is open, the Public Leaderboard will rank the submitted solutions by the accuracy score they achieve. Upon close of the competition, the Private Leaderboard, which covers the other 50% of the test dataset, will be made public and will constitute the final ranking for the competition.

If your solution places 1st, 2nd, or 3rd in the final ranking, you will be required to submit your winning solution code to us for verification and you thereby agree to share all worldwide rights of copyright in and to such winning solution to Zindi.

Regardless of any public announcement of winners, Zindi reserves the right to disqualify any user, team, or university if the code does not reproduce the winning submission.

You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.

Teams may win in one challenge category, and are encouraged to enter only one

• Participants may compete individually or in teams of up to four people.
• The teams will be judged based on their ranking on the dedicated Zindi leaderboard at the time of competition close.
• All participants in the hackathon must be registered students (undergraduate or graduate) at the university they represent. Lecturers, University staff, and alumni may participate in a mentorship or advisory capacity.
• Teams cannot collaborate or share information with each other.
• All solutions must use machine learning, but teams are permitted and encouraged to use exploratory data analysis in building their solutions.
• All solutions must use publicly-available, open-source packages only.
• Solutions must use only the allowed and available datasets.
• Participants caught cheating or breaking any competition rules will be immediately disqualified from the competition.
• Universities caught cheating or allowing teams to cheat will be immediately disqualified from the competition.
• The winning code must be submitted to Zindi for review and validation immediately at the close of the competition. In the interest of logistics, code review will take place only after the competition has closed and winners have been announced.

Please refer to the FAQs and Terms of Use for additional rules that may apply to this competition. We reserve the right to update these rules at any time.

The error metric for this competition is the F1 score, which ranges from 0 (total failure) to 1 (perfect score).

F1 Score is a performance score that combines both precision and recall. It is a harmonic mean of these two variables. The formula is given as: 2*Precision*Recall/(Precision + Recall)

Precision: This is an indicator of the number of items correctly identified as positive out of total items identified as positive. The formula is given as: TP/(TP+FP)

Recall / Sensitivity / True Positive Rate (TPR): This is an indicator of the number of items correctly identified as positive out of total actual positives. The formula is given as: TP/(TP+FN)

Where:

TP=True Positive

FP=False Positive

TN=True Negative

FN=False Negative

Your submission should look like (where 1 indicates positive and 0 indicates negative):

ID            label

00OADRP         1
012YMY8         0
014E83I         1

In order to win, you must:

• be a part of the UmojaHack Morocco event on 24 October 2020
• be currently enrolled as a student at a Moroccan university
• have your affiliated university listed on your Zindi profile

1st prize: MAD 4,600 shared between members of the winning team plus MAD 11,600 for the university to which the winning team is affiliated.

2nd prize: MAD 2,750 shared between members of the winning team plus MAD 9,250 for the university to which the winning team is affiliated.

3rd prize: MAD 1,850 shared between members of the winning team plus MAD 6,950 for the university to which the winning team is affiliated.

Important to note: Only one team from each university will be allowed to win a prize. If more than one team from one university places in the top three, only the top team will win a prize and their university will also win only the one prize. The remaining prizes will be awarded to the next top team/university.

09:00 – 09:30 Welcome and orientation (live video conference using Zoom)

09:30 – 10:00 Technical orientation to the platform and the challenges (live video conference using Zoom)

10:00 Competition opens (note that users can sign up for a competition and join teams before the time)

10:00 – 19:00 Students form teams and work on the challenge, questions and issues during this time can be addressed by local Zindi reps or via WhatsApp group

19:00 Submissions close

19:15 Announcement of local winners and prizes (live video conference using Zoom)