Learning Users’ Intention of Legal Consultation through Pattern-Oriented Tensor Decomposition with Bi-LSTM

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2019/2589784/figures/2589784.fig.005a.svgz" name="2589784.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Number of users’ legal consulting statements on each category</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2019/2589784/figures/2589784.fig.005b.svgz" name="2589784.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Length of users’ legal consulting statements</td></tr></table>

<div>Statistics on dataset of users’ legal consulting statements.</div>

Wireless Communications and Mobile Computing

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Figure 5

Figure 5: Learning Users’ Intention of Legal Consultation through Pattern-Oriented Tensor Decomposition with Bi-LSTM 