Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Opinion mining on Twitter recently attracted research in- terest in politics using Information Retrieval (IR) and Natural Lan- guage Processing (NLP). Hover, getting domain-specific annotated data still remains a costly manual step. In addition, the amount and quality of these annotation may be critical regarding the performance of machine learning (ML) based systems. An alternative solution is to use cross-language and cross-domain sets to simulate training data.  describe a ML approach to automatically annotate Spanish tets dealing with the online-reputation of politicians. Our main finding is that a simple statistical NLP classifier without in-domain training can provide as reliable annotation as humans annotators and outperform more specific resources such as lexicon or in-domain data.
['Jean-Valère Cossu', 'Roc ´ õo Abascal-Mena', 'Alejandro Molina', 'Juan-Manuel Torres-Moreno', 'Eric SanJuan']
I am writing a research paper on a idea Bilingual and Cross Domain Politics Analysis
[{"from": "human", "value": "I am writing a research paper on a idea Bilingual and Cross Domain Politics Analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Opinion mining on Twitter recently attracted research in- terest in politics using Information Retrieval (IR) and Natural Lan- guage Processing (NLP). Hover, getting domain-specific annotated data still remains a costly manual step. In addition, the amount and quality of these annotation may be critical regarding the performance of machine learning (ML) based systems. An alternative solution is to use cross-language and cross-domain sets to simulate training data.  describe a ML approach to automatically annotate Spanish tets dealing with the online-reputation of politicians. Our main finding is that a simple statistical NLP classifier without in-domain training can provide as reliable annotation as humans annotators and outperform more specific resources such as lexicon or in-domain data."}]