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participants / team

Topic provider

In the past 40 years, the Electronic and Optoelectronic System Research Laboratories undertakes the missions for the researches and developments of Semiconductor, Packaging, LED/OLED/Micro LED, Telecommunications, Flexible Electronics, 3D Imaging, Flexible Display and Transparent Display Application System technologies.

ITRI provides a welcoming work environment that stimulates the full potential of ITRI’s members, allowing them to excel and to perform their best in application-oriented researches. We fully cultivate the capability of independent innovation through participating in international cooperation and academic programs. These collaborative activities are pursued so as to aid in the success of technological incubation and entrepreneur start-ups. We strive to strengthen the technological innovation and value creation ability for Taiwan’s industry in order to remain the competitiveness globally.


Sentiment analysis is one of the most significant applications of natural language processing (NLP) nowadays. By adopting it, sentiments in phrases or sentences as well as inclinations of comments can be determined, besides, a more precise comment system for the database can also be established.

In this topic, participants shall train AI models to analyze the brief comments that are collected and determine whether a piece of similar writing is positive or negative.


[1] https://ai.stanford.edu/~amaas/data/sentiment/
[2] https://paperswithcode.com/dataset/sst

Activity time

This project ends at 23:59:59 on 01/15/2022., with its Private Leaderboard being announced at 00:00:00 on 01/22/2022.

Evaluation Criteria

Evaluations are conducted by calculating F1 score [1], and the formula is as follows: $$ F_{1} = {2\cdot {precision \cdot recall \over precision+recall}} \\ $$

[1] F1 score:


  • The evaluation will be based on the final uploaded result.
  • The maximum number of uploading times is 5 times per day.
  • This topic does not offer a team-up option, only one account per person is allowed, and each person can only participate once. If any violations are found, people who are involved would be forced to withdraw the activity.
  • All the data, techniques and source codes that are used belong to the participants. If any third-party claims their intellectual property rights or other rights and interests are being violated, the participant will need to handle the disputes personally. If any participants violate intellectual property rights, they will be disqualified, and shall bear legal responsibilities.
  • All the achievements and their IPRs (intellectual property rights) belong to the participants, and the Copyright License Agreements, patent applications, technology transfer and equity distributions of them, should be in accordance with the relevant Laws and Regulations.
  • The organizers reserve the right to enquire the results or take any related actions.
  • There should be no answer discussions between different accounts, or it will be considered as cheating.
  • If there is cheating or fraud during the activity, the participant that cheats will be disqualified from the activity.
  • After uploading, the answers of test data would be divided into two parts to calculate the score:
    • Before the deadline of the activity: The system will examine and calculate the score refer to the Ground Truth of approximately 40% of the entire test data. The result will be posted on the Public Leaderboard.
    • After the deadline of the activity: The system will examine and calculate the score referring to the Ground Truth of the remaining test data (approximately 60%). The result will be posted on the Private Leaderboard.
  • Any artificial marking is forbidden.
  • Should there be disputes, the organizers reserves the right to the final decision.
  • The organizers reserve the right to modify any details regarding the contest when needed.