Sorting and displaying documents according to sentiment level in an online community
First Claim
1. A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:
- select a review topic in an online community;
identify a plurality of documents contributed for the review topic;
obtain sentiment data associated with each of the plurality of documents, wherein obtaining the sentiment data comprises selecting content associated with each of the plurality of documents and determining n-grams in each of the plurality of documents from the selected content via a software-based application capable of natural language processing;
develop a sentiment model based on the obtained sentiment data, wherein developing the sentiment model comprises, for each document among the plurality of documents, calculating a sentiment score for each n-gram in the document by establishing predefined rules based upon one or more factors, and calculating a sentiment score for the document by determining a sum or an average of the respective sentiment scores calculated for all of the n-grams of the document, and wherein a client associated with a client computing application is provided at least one option to determine how the one or more factors are considered in establishing the predefined rules; and
based on the sentiment model, organize and present the plurality of documents in an online community interface of the client computing application, wherein organizing and presenting the plurality of documents comprises;
sorting the plurality of documents by assigning priority values such that documents that have respectively lower sentiment scores calculated during the development of the sentiment model are assigned respectively higher priority values;
differentiating priority values of any group of documents assigned a same priority value by applying at least one tiebreak technique; and
displaying the sorted plurality of documents in the online community interface, wherein documents assigned respectively higher priority values are displayed more prominently than documents assigned respectively lower priority values.
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Abstract
An approach is described for sorting and displaying documents according to sentiment level in an online community. An associated system may include a processor and a memory storing an application program, which, when executed on the processor, performs an operation that may include selecting a review topic in an online community and identifying a plurality of documents contributed for the review topic. The plurality of documents may include at least one of a product review submission, a marketing survey submission, a social network activity stream post, a discussion forum post, a weblog post, and an audiovisual sample. The operation further may include obtaining sentiment data associated with each of the plurality of documents developing a sentiment model based on the obtained sentiment data. Additionally, the operation may include organizing and presenting the plurality of documents in an online community interface based on the sentiment model.
44 Citations
18 Claims
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1. A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:
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select a review topic in an online community; identify a plurality of documents contributed for the review topic; obtain sentiment data associated with each of the plurality of documents, wherein obtaining the sentiment data comprises selecting content associated with each of the plurality of documents and determining n-grams in each of the plurality of documents from the selected content via a software-based application capable of natural language processing; develop a sentiment model based on the obtained sentiment data, wherein developing the sentiment model comprises, for each document among the plurality of documents, calculating a sentiment score for each n-gram in the document by establishing predefined rules based upon one or more factors, and calculating a sentiment score for the document by determining a sum or an average of the respective sentiment scores calculated for all of the n-grams of the document, and wherein a client associated with a client computing application is provided at least one option to determine how the one or more factors are considered in establishing the predefined rules; and based on the sentiment model, organize and present the plurality of documents in an online community interface of the client computing application, wherein organizing and presenting the plurality of documents comprises; sorting the plurality of documents by assigning priority values such that documents that have respectively lower sentiment scores calculated during the development of the sentiment model are assigned respectively higher priority values; differentiating priority values of any group of documents assigned a same priority value by applying at least one tiebreak technique; and displaying the sorted plurality of documents in the online community interface, wherein documents assigned respectively higher priority values are displayed more prominently than documents assigned respectively lower priority values. - View Dependent Claims (2, 5, 6, 7, 8, 13, 15, 17)
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3. A system comprising:
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a processor; and a memory storing an application program, which, when executed on the processor, performs an operation comprising; selecting a review topic in an online community; identifying a plurality of documents contributed for the review topic; obtaining sentiment data associated with each of the plurality of documents, wherein obtaining the sentiment data comprises selecting content associated with each of the plurality of documents and determining n-grams in each of the plurality of documents from the selected content via a software-based application capable of natural language processing; developing a sentiment model based on the obtained sentiment data, wherein developing the sentiment model comprises, for each document among the plurality of documents, calculating a sentiment score for each n-gram in the document by establishing predefined rules based upon one or more factors, and calculating a sentiment score for the document by determining a sum or an average of the respective sentiment scores calculated for all of the n-grams of the document, and wherein a client associated with a client computing application is provided at least one option to determine how the one or more factors are considered in establishing the predefined rules; and based on the sentiment model, organizing and presenting the plurality of documents in an online community interface of the client computing application, wherein organizing and presenting the plurality of documents comprises; sorting the plurality of documents by assigning priority values such that documents that have respectively lower sentiment scores calculated during the development of the sentiment model are assigned respectively higher priority values; differentiating priority values of any group of documents assigned a same priority value by applying at least one tiebreak technique; and displaying the sorted plurality of documents in the online community interface, wherein documents assigned respectively higher priority values are displayed more prominently than documents assigned respectively lower priority values. - View Dependent Claims (4, 9, 10, 11, 12, 14, 16, 18)
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Specification