MULTI-ASPECT SENTIMENT ANALYSIS BY COLLABORATIVE ATTENTION ALLOCATION

    公开(公告)号:US20200073937A1

    公开(公告)日:2020-03-05

    申请号:US16117431

    申请日:2018-08-30

    IPC分类号: G06F17/27 G06N3/08

    摘要: A computer-implemented method is presented for implementing multi-aspect sentiment analysis by collaborative attention allocation. The method includes extracting a sequence of word vectors from a sentence received from a data stream, feeding the sequence of word vectors to long short-term memory (LSTM) neural networks to generate a sequence of hidden states corresponding to the sequence of word vectors, generating a plurality of aspect embedding vectors for each aspect, employing an attention mechanism to determine attention weight vectors concurrently for all aspects, and outputting predicted sentiments for each aspect of the sentence to a user interface of a computing device.

    Automatic equation transformation from text

    公开(公告)号:US10482162B2

    公开(公告)日:2019-11-19

    申请号:US15828342

    申请日:2017-11-30

    摘要: A method, computer system, and a computer program product for automatic equation transformation from text is provided. The present invention may include receiving a text document. The present invention may then include identifying a mathematical formula expressed in the received text document. The present invention may then include removing a plurality of superfluous language from the received text document based on the identified mathematical formula. The present invention may also include transforming the identified mathematical formula into a symbolic representation based on a trained model. The present invention may finally include outputting the symbolic representation.

    Energy consumption assessment
    13.
    发明授权

    公开(公告)号:US10394266B2

    公开(公告)日:2019-08-27

    申请号:US14836468

    申请日:2015-08-26

    IPC分类号: G06F1/16 G05F1/66

    摘要: According to embodiments of the present invention, the energy consumption assessment is done by identifying the benchmark production processes or enterprises. First, a process similarity between a target production process and a candidate production process is determined based on energy consumption units (ECUs) involved in the target production process and the candidate production process. In response to the process similarity being greater than a first threshold, an energy consumption similarity between the target production process and the candidate production process is determined based on a factor that has influence on energy consumption of at least one of the ECUs. In response to the energy consumption similarity being greater than a second threshold, the candidate production process is identified as a benchmark for assessing energy consumption of the target production process.

    Methods and systems of personalized photo albums based on social media data

    公开(公告)号:US10346466B2

    公开(公告)日:2019-07-09

    申请号:US15131324

    申请日:2016-04-18

    摘要: Embodiments include methods, and mobile computing devices, and computer program products for creating personalized photo albums on mobile computing devices based on social media data. Aspects include: accessing, via mobile computing device, various photos taken by a user of mobile computing device, retrieving, from one or more social media streams, various media photos posted by user of the mobile computing device, extracting image features from the photos and the media photos, and text features from the media photos, generating photo clusters based on the image features of the photos, and media photo clusters based on the image features of the media photos, respectively, matching the photo clusters and the media photo clusters, tagging the photo clusters and the media photo clusters matched based on the text features extracted from the media photos, and generating a personalized photo album based on the photo clusters tagged and the media photo clusters tagged.

    METHOD FOR VISUALIZING NEURAL NETWORK MODELS
    16.
    发明申请

    公开(公告)号:US20190205728A1

    公开(公告)日:2019-07-04

    申请号:US15857587

    申请日:2017-12-28

    IPC分类号: G06N3/04 G06F17/30

    CPC分类号: G06N3/04 G06F16/904

    摘要: A method for providing a graphical visualization of a neural network to a user is provided. The method includes generating the graphical visualization of the neural network at least in part by: representing layers of the neural network as respective three-dimensional blocks, wherein at least a first dimension of a given block is proportional to a computational complexity of a layer of the neural network represented by the given block; and representing data flows between the layers of the neural network as respective three-dimensional structures connecting blocks representing the layers of the neural network, wherein a first dimension of a given structure is proportional to each of a first dimension and a second dimension of a data flow represented by the given structure. The method also includes displaying the graphical visualization of the neural network to the user.