Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many real-life databases include columns containing textual data, which need to be processed to produce novel and actionable insights.  consider the novel problem of identifying specific sentences in the given text, since they tend to be actionable and novel.  demonstrate that specific sentences in the textual responses collected in an employee satisfaction survey and a product review are useful in understanding concrete issues, grievances and actionable suggestions for improvements.  propose an unsupervised approach for identifying specific sentences:  define and compute several features for each sentence and compute a specificity score for each sentence. Top k sentences in terms of this score are identified as specific. Some features are semantic in the sense that they use a supporting ontology (that of WordNet).  use the theory of speech acts to build an unsupervised (knowledgebased) classifier to further classify the identified specific sentences into suggestion and complaint classes. Our contributions here include treating suggestion and complaint as speech acts as ll as the use of sentiment analysis in identifying speech acts.  demonstrate the utility of the proposed work in two real-life domains: employee surveys and product reviews.
['Shailesh Deshpande', 'Girish Keshav Palshikar', 'G. Athiappan']
I am writing a research paper on a idea An Unsupervised Approach to Sentence Classification.
[{"from": "human", "value": "I am writing a research paper on a idea An Unsupervised Approach to Sentence Classification."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many real-life databases include columns containing textual data, which need to be processed to produce novel and actionable insights.  consider the novel problem of identifying specific sentences in the given text, since they tend to be actionable and novel.  demonstrate that specific sentences in the textual responses collected in an employee satisfaction survey and a product review are useful in understanding concrete issues, grievances and actionable suggestions for improvements.  propose an unsupervised approach for identifying specific sentences:  define and compute several features for each sentence and compute a specificity score for each sentence. Top k sentences in terms of this score are identified as specific. Some features are semantic in the sense that they use a supporting ontology (that of WordNet).  use the theory of speech acts to build an unsupervised (knowledgebased) classifier to further classify the identified specific sentences into suggestion and complaint classes. Our contributions here include treating suggestion and complaint as speech acts as ll as the use of sentiment analysis in identifying speech acts.  demonstrate the utility of the proposed work in two real-life domains: employee surveys and product reviews."}]