Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Social media bsites allow users to exchange short texts such as tets via microblogs and user status in friendship networks. Their limited length, pervasive abbreviations, and coined acronyms and words exacerbate the problems of synonymy and polysemy, and bring about new challenges to data mining applications such as text clustering and classification. To address these issues,  dissect some potential causes and devise an efficient approach that enriches data representation by employing machine translation to increase the number of features from different languages. Then  propose a novel framework which performs multi-language knowledge integration and feature reduction simultaneously through matrix factorization techniques. The proposed approach is evaluated extensively in terms of effectiveness on two social media datasets from Facebook and Twitter. With its significant performance improvement,  further investigate potential factors that contribute to the improved performance.
['Jiliang Tang', 'Xufei Wang', 'Huiji Gao', 'Xia Hu', 'Huan Liu']
I am writing a research paper on a idea Enriching short text representation in microblog for clustering
[{"from": "human", "value": "I am writing a research paper on a idea Enriching short text representation in microblog for clustering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Social media bsites allow users to exchange short texts such as tets via microblogs and user status in friendship networks. Their limited length, pervasive abbreviations, and coined acronyms and words exacerbate the problems of synonymy and polysemy, and bring about new challenges to data mining applications such as text clustering and classification. To address these issues,  dissect some potential causes and devise an efficient approach that enriches data representation by employing machine translation to increase the number of features from different languages. Then  propose a novel framework which performs multi-language knowledge integration and feature reduction simultaneously through matrix factorization techniques. The proposed approach is evaluated extensively in terms of effectiveness on two social media datasets from Facebook and Twitter. With its significant performance improvement,  further investigate potential factors that contribute to the improved performance."}]