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README.md

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 license: mit
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+# Sentiment Analysis Data for the Maltese Language
 
-## Sentiment Analysis Data for the Maltese Language
+## Dataset Description:
+This dataset contains sentiment analysis data originating from comments on news articles and social media posts. It is a combination of two datasets: one from Cortis and Davis (2019) and another from Dingli and Sant (2016).
 
-**Dataset Description:**
-This dataset contains a sentiment analysis dataset extracted from here.
-
-**Data Structure:**
+## Data Structure:
 The data was used for the project on [injecting external commonsense knowledge into multilingual Large Language Models](https://github.com/d-gurgurov/Injecting-Commonsense-Knowledge-into-LLMs).
+
+## Citations:
+
+- **Cortis and Davis (2019)**
+  - Title: [A Social Opinion Gold Standard for the Malta Government Budget 2018](https://aclanthology.org/D19-5547)
+  - Authors: Keith Cortis and Brian Davis
+  - Proceedings: Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
+  - Publisher: Association for Computational Linguistics
+  - Year: 2019
+  - Abstract: This paper presents a gold standard of annotated social opinion for the Malta Government Budget 2018. It consists of over 500 online posts in English and/or Maltese, gathered from social media platforms and newswires, annotated with information about opinions expressed by the general public and other entities, in terms of sentiment polarity, emotion, sarcasm/irony, and negation. This dataset is a resource for opinion mining based on social data, particularly within the context of politics, and is the first opinion-annotated social dataset from Malta.
+
+- **Dingli and Sant (2016)**
+  - Title: Sentiment analysis on Maltese using machine learning
+  - Authors: Alexiei Dingli and Nicole Sant
+  - Proceedings: Proceedings of The Tenth International Conference on Advances in Semantic Processing (SEMAPRO 2016)
+  - Year: 2016