If you have any questions, please reach out to your ambassador Davis David - Davisy.
Telecom service providers in Tanzania highly value the analysis of customers' comments and feedback as it provides crucial insights into their experiences, preferences, and expectations. By analyzing customer comments, telecom companies can identify specific pain points, areas of improvement, and potential issues within their services. This information allows them to take proactive measures to address customer concerns, enhance service quality, and optimize their offerings. Furthermore, understanding customer sentiment helps telecom providers to personalize their services and tailor their marketing strategies, resulting in improved customer satisfaction, increased loyalty, and ultimately a competitive advantage in the dynamic telecommunications market in Tanzania.
The objective of this sentiment analysis challenge is to build an effective machine-learning model that can automatically classify the sentiments expressed in customer reviews regarding telecommunication services in Tanzania. The goal is to develop a robust algorithm that can accurately identify whether a given customer sentiment is positive, negative, or neutral. By achieving this objective, telecom companies can gain valuable insights into customer opinions and experiences, enabling them to improve their services, address issues, and enhance customer satisfaction.
The solution to this sentiment analysis challenge holds significant relevance for the telecommunication sector in Tanzania. By accurately classifying customer sentiments, telecom companies can gain a deeper understanding of customer perceptions and expectations. This knowledge can guide decision-making processes, help prioritize areas for improvement, and refine service offerings to align with customer preferences. Additionally, the solution enables proactive identification of potential issues and allows telecom companies to address them promptly, leading to enhanced customer satisfaction, increased loyalty, and improved overall service quality.
About Tanzania Data Lab (dLab)
Tanzania Data Lab (dLab) is a world class data and innovation lab that harnesses the potential of the data revolution and the fourth industrial revolution in solving local, regional, and global sustainable development challenges through data and innovation.
An IndabaX is a locally-organised Indaba (i.e gathering) that helps develop knowledge and capacity in machine learning and artificial intelligence in individual countries across Africa. IndabaX gatherings fall under the Deep Learning Indaba umbrella. It started in 2018 as an experiment in strengthening our machine learning community beyond the annual Deep Learning Indaba, to allow more people to contribute to the conversation on artificial intelligence and machine learning. Each of these IndabaX events is partnered with a local university, and is now working to provide an exciting programme tailored to the needs of their local community. In 2018, IndabaX events were supported in 13 different countries across Africa. In 2019, the IndabaX grew to include 27 countries! The events range from roughly 50 attendees per event, up to some of the larger ones which exceeded 300 attendees each and run over multiple days. The IndabaX 2021 host countries are 🇩🇿 Algeria, 🇨🇲 Cameroon, 🇨🇮 Côte d’Ivoire, 🇪🇬 Egypt, 🇸🇿 Eswatini, 🇪🇹 Ethiopia, 🇬🇲 The Gambia, 🇬🇭 Ghana, 🇰🇪 Kenya, 🇱🇸 Lesotho, 🇲🇼 Malawi, 🇲🇱 Mali, 🇲🇿 Mozambique, 🇳🇦 Namibia, 🇳🇬 Nigeria, 🇸🇳 Senegal, 🇿🇦 South Africa, 🇸🇩 Sudan, 🇹🇿 Tanzania, 🇹🇬 Togo, 🇹🇳 Tunisia, 🇺🇬 Uganda, 🇿🇲 Zambia and 🇿🇼 Zimbabwe.
The error metric for this competition is Accuracy.
For every row in the dataset, submission files should contain 2 columns: ID and Target.
Your submission file should look like this:
1st palce: Tsh 140,000/=
2nd place: Tsh 120,000/=
3rd place: Tsh 100,000/=
There are 500 Zindi points available. You can read more about Zindi points here.
Prizes will only be paid to user currently living in Tanzania.
This challenge starts on 19 June at 6:00 AM.
Competition closes on 21 June at 19:00 PM.
The private leaderboard will be revealed on 14 June at 19:10 PM
We reserve the right to update the contest timeline if necessary.
How to enroll in your first Zindi competition
How to create a team on Zindi
How to update your profile on Zindi
How to use Colab on Zindi
How to mount a drive on Colab
This challenge is IndabaX Tanzania participants.
Teams and collaboration
You may participate in competitions 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 total 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 immediately disqualified from the platform.
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).
The Zindi data scientist who sets up a team is the default Team Leader but they can transfer leadership to another data scientist on the team. The Team Leader can invite other data scientists to their team. Invited data scientists can accept or reject invitations. Until a second data scientist accepts an invitation to join a team, the data scientist who initiated a team remains an individual on the leaderboard. No additional members may be added to teams within the last hour of a hackathon.
The team leader can initiate a merge with another team. Only the team leader of the second team can accept the invite. The default team leader is the leader from the team who initiated the invite. Teams can only merge if the total number of members is less than or equal to the maximum team size of the competition.
A team can be disbanded if it has not yet made a submission. Once a submission is made individual members cannot leave the team.
All members in the team receive points associated with their ranking in the competition and there is no split or division of the points between team members.
Datasets and packages
The solution must use publicly-available, open-source packages only.
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.
You are allowed to access, use and share competition data for any commercial,. non-commercial, research or education purposes, under a CC-BY SA 4.0 license.
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.
You may make a maximum of 300 submissions for this competition.
Before the end of the competition you need to choose 2 submissions to be judged on for the private leaderboard. If you do not make a selection your 2 best public leaderboard submissions will be used to score on the private leaderboard.
During the competition, your best public score will be displayed regardless of the submissions you have selected. When the competition closes your best private score out of the 2 selected submissions will be displayed.
Zindi maintains a public leaderboard and a private leaderboard for each competition. The Public Leaderboard includes approximately 20% 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 80% of the test dataset, will be made public and will constitute the final ranking for the competition.
Note that to count, your submission must first pass processing. If your submission fails during the processing step, it will not be counted and not receive a score; nor will it count against your daily submission limit. If you encounter problems with your submission file, your best course of action is to ask for advice on the Competition’s discussion forum.
If you are in the top 5 at the time the leaderboard closes, we will email you to request your code. On receipt of email, you will have 2 hours to respond and submit your code following the Reproducibility of the submitted code guidelines detailed below. Failure to respond will result in disqualification.
If your solution places 1st, 2nd, or 3rd on the final leaderboard, you will be required to submit your winning solution code to us for verification, and you thereby agree to assign all worldwide rights of copyright in and to such winning solution to Zindi.
If two solutions earn identical scores on the leaderboard, the tiebreaker will be the date and time in which the submission was made (the earlier solution will win).
The winners will be paid via bank transfer, PayPal, or other international money transfer platform. International transfer fees will be deducted from the total prize amount, unless the prize money is under $500, in which case the international transfer fees will be covered by Zindi. In all cases, the winners are responsible for any other fees applied by their own bank or other institution for receiving the prize money. All taxes imposed on prizes are the sole responsibility of the winners. The top 3 winners or team leaders will be required to present Zindi with proof of identification, proof of residence and a letter from your bank confirming your banking details.Winners will be paid in USD or the currency of the competition. If your account cannot receive US Dollars or the currency of the competition then your bank will need to provide proof of this and Zindi will try to accommodate this.
Please note that due to the ongoing Russia-Ukraine conflict, we are not currently able to make prize payments to winners located in Russia. We apologise for any inconvenience that may cause, and will handle any issues that arise on a case-by-case basis.
Payment will be made after code review and sealing the leaderboard.
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.
Zindi is committed to providing solutions of value to our clients and partners. To this end, we reserve the right to disqualify your submission on the grounds of usability or value. This includes but is not limited to the use of data leaks or any other practices that we deem to compromise the inherent value of your solution.
Zindi also reserves the right to disqualify you and/or your submissions from any competition if we believe that you violated the rules or violated the spirit of the competition or the platform in any other way. The disqualifications are irrespective of your position on the leaderboard and completely at the discretion of Zindi.
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.
A README markdown file is required
It should cover:
Your code needs to run properly, code reviewers do not have time to debug code. If code does not run easily you will be bumped down the leaderboard.
Consequences of breaking any rules of the competition or submission guidelines:
Monitoring of submissions
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