In this paper, we discuss the nlpBDpatriots entry to the shared task on Sentiment Analysis of Bangla Social Media Posts organized at the first workshop on Bangla Language Processing (BLP) co-located with EMNLP. The main objective of this task is to identify the polarity of social media content using a Bangla dataset annotated with positive, neutral, and negative labels provided by the shared task organizers. Our best system for this task is a transfer learning approach with data augmentation which achieved a micro F1 score of 0.71. Our best system ranked 12th among 30 teams that participated in the competition.

翻译：本文介绍了nlpBDpatriots团队在首届孟加拉语处理研讨会（BLP，与EMNLP共同举办）组织的孟加拉语社交媒体帖子情感分析共享任务中的参赛工作。该任务的主要目标是利用由共享任务组织者提供的标注有正面、中性和负面标签的孟加拉语数据集，识别社交媒体内容的极性。我们为该项任务设计的最佳系统采用了一种结合数据增强的迁移学习方法，在微平均F1分数上达到0.71。该最佳系统在参与竞赛的30支队伍中排名第12位。