Latvian Food Tweet Dataset (LTEC)

该数据集包含了来自169,000名用户在过去十年间生成的240万条推文，重点聚焦于拉脱维亚的食品相关推文，尤其是里加地区的。其中，还包括了用于情感分析的带有情感标注的子集，共5,420条推文，用于训练情感分析模型。此外，数据集还包含了来自周边地区的与地理位置相关的推文。该数据集的规模达到了240万条推文，旨在进行基于天气条件的情感分析以及食品相关推文分析任务。

This dataset comprises 2.4 million Tweets generated by 169,000 users over the past decade, with a core focus on food-related Tweets originating from Latvia, especially those posted in the Riga area. It additionally features a sentiment-annotated subset of 5,420 Tweets, specifically prepared for training sentiment analysis models. Furthermore, the dataset incorporates geotagged Tweets from the surrounding regions. With a total corpus size of 2.4 million Tweets, this dataset is developed for two primary tasks: weather-conditioned sentiment analysis and food-related Tweet analysis.