发明名称 Topic sentiment identification and analysis
摘要 Information containing peoples' opinion from unstructured sources on a variety of topics of interest is collected and analyzed. These unstructured sources include but are not limited to social media information on the Internet. The collected data is cleansed and sent to an analysis system to determine, among other things, the topics of discussion (including multi-word topics of discussion), the co-occurring topics of discussion for each topic of discussion identified and the sentiment for each. Once determined the analyzed data is delivered to a storage and indexing system from which several application can retrieve and provide this information to users.
申请公布号 US2015193482(A1) 申请公布日期 2015.07.09
申请号 US201514589348 申请日期 2015.01.05
申请人 30dB, Inc. 发明人 Kaushansky Howard;Kireyev Kirill;Perry Bradley John
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A computer-implemented method for analysis of accessible data, the method comprising: performing by at least one processor, identifying a plurality of topics of interests wherein each topic of interest is characterized by a plurality of words,detecting content from accessible data by matching each topic of interest within text of the accessible data,analyzing accessible data for words indicating a sentiment, andresponsive to the detected content including words indicating sentiment determining whether the sentiment is positive or negative; entering into an indexing and storage media, each topic of interest and the sentiment forming a corpus of sentiment data.
地址 Nederland CO US