add text presentation in doc/toc (force push)

worldbank · Nov 1, 2023 · 46644be · 46644be
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diff --git a/docs/_toc.yml b/docs/_toc.yml
@@ -37,6 +37,8 @@ parts:
   - caption: Text
     chapters:
       - file: text/intro
+      - url: https://worldbank.github.io/pacific-observatory/interactive/text/text_presentation.slides
+        title: Text Presentation
   - caption: Automatic Identification System
     chapters:
       - file: ais_intro

diff --git a/docs/images/interactive/text/text_presentation.slides.html b/docs/images/interactive/text/text_presentation.slides.html
@@ -7664,7 +7664,7 @@ <h2 id="Topic-Modeling">Topic Modeling<a class="anchor-link" href="#Topic-Modeli
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<h2 id="Sentimental-Analysis">Sentimental Analysis<a class="anchor-link" href="#Sentimental-Analysis">¶</a></h2>
+<h2 id="Sentiment-Analysis">Sentiment Analysis<a class="anchor-link" href="#Sentiment-Analysis">¶</a></h2>
 </div>
 </div>
 </div>
@@ -7727,7 +7727,7 @@ <h2 id="Sentimental-Analysis">Sentimental Analysis<a class="anchor-link" href="#
 </div>
 </div>
 </div></section><section>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5c6f09db">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ebfaa60c">
 <div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
@@ -7764,7 +7764,7 @@ <h2 id="Sentimental-Analysis">Sentimental Analysis<a class="anchor-link" href="#
 </div>
 </div>
 </div></div></section><section>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=56ec029f">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5f313f26">
 <div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
@@ -7774,7 +7774,7 @@ <h2 id="Sentimental-Analysis">Sentimental Analysis<a class="anchor-link" href="#
 </div>
 </div>
 </div>
-</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=e739223b">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=3f8eb6a8">
 <div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
@@ -7830,7 +7830,7 @@ <h2 id="Google-Trends">Google Trends<a class="anchor-link" href="#Google-Trends"
 </div>
 </div>
 </div></section><section>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b65f5f93">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c20d80af">
 <div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>

diff --git a/docs/text/intro.md b/docs/text/intro.md
@@ -1,11 +1,5 @@
 # Introduction
 
-## Presentation
-
-<div>
-<iframe src="https://worldbank.github.io/pacific-observatory/interactive/text/text_presentation.slides.html" frameborder="0" marginwidth="0" marginheight="0" width="800" height="500"></iframe>
-</div>
-
 ## Economic Policy Uncertainty (EPU) Index
 
 Baker, Bloom, and  Davis (2016) developed Economic Policy Uncertainty Index by exploiting the mention of economic, policy, and uncertainty group of terms on newspapers, and found that "innovations in policy uncertainty foreshadow declines in investment, output, and employment in the United States and … other 12 major economies."

diff --git a/notebooks/text/text_presentation.ipynb b/notebooks/text/text_presentation.ipynb
@@ -283,7 +283,7 @@
     }
    },
    "source": [
-    "## Sentimental Analysis"
+    "## Sentiment Analysis"
    ]
   },
   {
@@ -461,7 +461,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5c6f09db",
+   "id": "ebfaa60c",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -502,7 +502,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "56ec029f",
+   "id": "5f313f26",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -515,7 +515,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "e739223b",
+   "id": "3f8eb6a8",
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -571,7 +571,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b65f5f93",
+   "id": "c20d80af",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"

diff --git a/notebooks/text/word_embeddings.ipynb b/notebooks/text/word_embeddings.ipynb
@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "f7e0d625",
+   "id": "680ce9ad",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "62978b00",
+   "id": "68fbd1ef",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -56,7 +56,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "c6d2d1f7",
+   "id": "47baa8f3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -70,7 +70,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "354823d7",
+   "id": "4341e797",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -85,7 +85,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "9e6ef2ad",
+   "id": "6b963a69",
    "metadata": {},
    "outputs": [
     {
@@ -114,7 +114,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "798a3dfd",
+   "id": "1663643c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4e632757",
+   "id": "78ef2779",
    "metadata": {},
    "source": [
     "## Glove"
@@ -133,7 +133,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "984c86d4",
+   "id": "8b28b504",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -145,7 +145,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "42cc393e",
+   "id": "70a2e779",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -163,7 +163,7 @@
   {
    "cell_type": "code",
    "execution_count": 62,
-   "id": "c956582a",
+   "id": "8bc1cfa5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -178,7 +178,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "78f7c8fb",
+   "id": "559177a7",
    "metadata": {},
    "outputs": [
     {
@@ -207,7 +207,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "89304d48",
+   "id": "3ef2fcad",
    "metadata": {},
    "outputs": [
     {
@@ -270,7 +270,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "id": "23593f88",
+   "id": "aab29c96",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -286,7 +286,7 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "id": "b91e72ee",
+   "id": "defcd22c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -304,7 +304,7 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "id": "966d163b",
+   "id": "3510a20d",
    "metadata": {},
    "outputs": [
     {
@@ -332,7 +332,7 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "id": "7c09981e",
+   "id": "c2bb6e45",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -344,7 +344,7 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "id": "8d85380f",
+   "id": "478822eb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -354,7 +354,7 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "id": "f9927dad",
+   "id": "0b8acadf",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -379,7 +379,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "id": "414cd674",
+   "id": "3ca9c5c4",
    "metadata": {},
    "outputs": [
     {
@@ -405,7 +405,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dcda0ef6",
+   "id": "42cece66",
    "metadata": {},
    "source": [
     "## Embedding Layer + CNN"
@@ -414,7 +414,7 @@
   {
    "cell_type": "code",
    "execution_count": 87,
-   "id": "c529476d",
+   "id": "e4b230f8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -428,8 +428,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
-   "id": "6d8323b5",
+   "execution_count": 124,
+   "id": "a62ae52c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -443,8 +443,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
-   "id": "46b705e1",
+   "execution_count": 125,
+   "id": "d4715049",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -461,22 +461,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
-   "id": "c52523f2",
+   "execution_count": null,
+   "id": "9b527fed",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[122], line 18\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[38;5;66;03m# Create a weight matrix for the embedding layer\u001b[39;00m\n\u001b[1;32m     17\u001b[0m embedding_matrix \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mzeros((vocab_size, \u001b[38;5;241m300\u001b[39m))\n\u001b[0;32m---> 18\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m word, i \u001b[38;5;129;01min\u001b[39;00m tokenizer\u001b[38;5;241m.\u001b[39mword_index\u001b[38;5;241m.\u001b[39mitems():\n\u001b[1;32m     19\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m word \u001b[38;5;129;01min\u001b[39;00m glove_vectors\u001b[38;5;241m.\u001b[39mindex_to_key:\n\u001b[1;32m     20\u001b[0m         embedding_matrix[i] \u001b[38;5;241m=\u001b[39m glove_vectors[word]\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Tokenize the text data\n",
     "tokenizer = Tokenizer()\n",
@@ -517,7 +505,7 @@
   {
    "cell_type": "code",
    "execution_count": 93,
-   "id": "2eb19e13",
+   "id": "9087c312",
    "metadata": {},
    "outputs": [
     {