Sentiment Tagged Parallel Corpus for Luganda and Swahili
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains 10,000 parallel sentiment-tagged sentences. English sentences were translated to both Luganda and Swahili.  The translations were done by language experts and professional translators in collaboration with researchers at Makerere University. All sentences were tagged with a sentiment code. The sentiment tags were applied with respect to the English sentences' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["natural language processing","sentiment analysis","translation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains 10,000 parallel sentiment-tagged sentences. English sentences were translated to both Luganda and Swahili.  The translations were done by language experts and professional translators in collaboration with researchers at Makerere University. All sentences were tagged with a sentiment code. The sentiment tags were applied with respect to the English sentences' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains 10,000 parallel sentiment-tagged sentences. English sentences were translated to both Luganda and Swahili.  The translations were done by language experts and professional translators in collaboration with researchers at Makerere University. All sentences were tagged with a sentiment code. The sentiment tags were applied with respect to the English sentences
natural language processing; sentiment analysis; translation