Sentiment analysis data and word embeddings for Erzya, Komi-Zyrian, Moksha and Udmurt

The aligned sentiment annotated data is in setiment_eval_data.json, vectors.zip has the word embeddings in a textual Gensim format, code.zip has the code and models.zip the sentiment analysis model.

Please cite the following paper:

Alnajjar, K., Hämäläinen, M., & Rueter, J, (2023) Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages. In Proceedings of the Second Workshop on Resources and Representations for Under-resourced Languages and Domains (RESOURCEFUL-2023)

经对齐的情感标注数据存储于setiment_eval_data.json文件中；vectors.zip 内含采用Gensim文本格式的词嵌入（word embeddings）；code.zip 存放相关代码，models.zip 则收纳该情感分析模型。

请引用以下论文：
阿尔纳贾尔（Alnajjar, K.）、赫迈莱宁（Hämäläinen, M.）与鲁伊特（Rueter, J.）（2023）：《面向乌拉尔语系的基于对齐词嵌入的情感分析》（Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages），载于第二届低资源语言与领域资源及表征研讨会（RESOURCEFUL-2023）会议论文集。