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slides for conceptnet
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01 ConceptNet.ipynb

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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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},
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"source": [
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"More than the accuracy number, this convinces us that the classifier is working. We can see that the classifier has learned to generalize sentiment to words outside of its training data."
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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},
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"source": [
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"## Other approaches\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.16"
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"version": "3.11.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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"nbformat_minor": 4
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}

PDF_slides/DL_1d_conceptnet.pdf

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