| Presentation | 2014-06-15 Using text mining techniques to analyze free answer questions Yinjun HU, Yasuo TANIDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents a method for free answer classification and summarization by using text mining techniques. For the complicated free answer text in syntax, we proposed using the centrality of word roles in sentence to enhance the weight of words which are important for the sentence and answer. We also tried to improve the performance of clustering result by using a thesaurus, spelling normalization and Levenshtein distance. An experimental result shows that the proposal is effective to classify free answer text although further improvement in semantic area is aspired. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | free answer / questionnaire / text mining / chunk / word centrality |
| Paper # | NLC2014-14 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2014/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Using text mining techniques to analyze free answer questions |
| Sub Title (in English) | |
| Keyword(1) | free answer |
| Keyword(2) | questionnaire |
| Keyword(3) | text mining |
| Keyword(4) | chunk |
| Keyword(5) | word centrality |
| 1st Author's Name | Yinjun HU |
| 1st Author's Affiliation | Synergy Marketing, Inc.() |
| 2nd Author's Name | Yasuo TANIDA |
| 2nd Author's Affiliation | Synergy Marketing, Inc. |
| Date | 2014-06-15 |
| Paper # | NLC2014-14 |
| Volume (vol) | vol.114 |
| Number (no) | 81 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |