Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes our approach to the SemEval-2013 task on “Sentiment Analysis in Twitter”.  use simple bag-of-words models, a freely available sentiment dictionary automatically extended with distributionally similar terms, as ll as lists of emoticons and internet slang abbreviations in conjunction with fast and robust machine learning algorithms. The resulting system is resource-lean, making it relatively independent of a specific language. Despite its simplicity, the system achieves competitive accuracies of 0.70‐0.72 in detecting the sentiment of text messages.  also apply our approach to the task of detecting the contextdependent sentiment of individual words and phrases within a message.
['Thomas Proisl', 'P. F. Greiner', 'Stefan Evert', 'Besim Kabashi']
I am writing a research paper on a idea KLUE: Simple and robust methods for polarity classification
[{"from": "human", "value": "I am writing a research paper on a idea KLUE: Simple and robust methods for polarity classification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes our approach to the SemEval-2013 task on \u201cSentiment Analysis in Twitter\u201d.  use simple bag-of-words models, a freely available sentiment dictionary automatically extended with distributionally similar terms, as ll as lists of emoticons and internet slang abbreviations in conjunction with fast and robust machine learning algorithms. The resulting system is resource-lean, making it relatively independent of a specific language. Despite its simplicity, the system achieves competitive accuracies of 0.70\u20100.72 in detecting the sentiment of text messages.  also apply our approach to the task of detecting the contextdependent sentiment of individual words and phrases within a message."}]