|
6 | 6 | "id": "VMb4vyeWzQYJ"
|
7 | 7 | },
|
8 | 8 | "source": [
|
9 |
| - "# Main Notebook: NLP Series Workshop 1: Getting Started with Sentiment Analysis" |
10 |
| - ] |
11 |
| - }, |
12 |
| - { |
13 |
| - "cell_type": "markdown", |
14 |
| - "metadata": { |
15 |
| - "id": "TEbYdn-N0Gxe" |
16 |
| - }, |
17 |
| - "source": [ |
18 |
| - "## Table of Contents\n", |
19 |
| - "<div class=\"alert alert-block alert-info\">\n", |
20 |
| - "<ol>\n", |
21 |
| - " <li>\n", |
22 |
| - " <a href=\"#scrollTo=Setup_and_Exploration\">Setup and Exploration</a>\n", |
23 |
| - " <ol type=\"a\">\n", |
24 |
| - " <li><a href=\"#scrollTo=a_Setup\">Setup</a></li>\n", |
25 |
| - " <li><a href=\"#scrollTo=b_Exploration\">Exploration</a></li>\n", |
26 |
| - " </ol>\n", |
27 |
| - " </li>\n", |
28 |
| - " <li>\n", |
29 |
| - " <a href=\"#scrollTo=Rule_Based_Classifier\">Rule-Based Classifer</a>\n", |
30 |
| - " <ol type=\"a\">\n", |
31 |
| - " <li><a href=\"#scrollTo=a_Building_the_Rule_based_Classifier\">Building the Rule-Based Classifier</a></li>\n", |
32 |
| - " <li><a href=\"#scrollTo=b_Evaluating_the_Rule_based_Classifier\">Evaluating the Rule-Based Classifier</a></li>\n", |
33 |
| - " </ol>\n", |
34 |
| - " </li>\n", |
35 |
| - " <li>\n", |
36 |
| - " <a href=\"#scrollTo=NLP_Classifier\">NLP Classifier</a>\n", |
37 |
| - " <ol type=\"a\">\n", |
38 |
| - " <li><a href=\"#scrollTo=a_Intro_to_Bag_of_Words\">Intro to Bag of Words</a></li>\n", |
39 |
| - " <li><a href=\"#scrollTo=b_Bag_of_Words_Logistic_Regression\">Bag of Words + Logistic Regression</a></li>\n", |
40 |
| - " <li><a href=\"#scrollTo=c_Bag_of_Words_Logistic_Regression_vs_Rule_Based\">Bag of Words + Logistic Regression vs Rule-Based</a></li>\n", |
41 |
| - " <li><a href=\"#scrollTo=d_Bag_of_Words_Neural_Net\">Bag of Words + Neural Net</a></li>\n", |
42 |
| - " </ol>\n", |
43 |
| - " </li>\n", |
44 |
| - " <li><a href=\"#scrollTo=Conclusion\">Conclusion</a></li>\n", |
45 |
| - "</ol>\n", |
46 |
| - "</div>" |
| 9 | + "## Main Notebook: NLP Series Workshop 1: Getting Started with Sentiment Analysis" |
47 | 10 | ]
|
48 | 11 | },
|
49 | 12 | {
|
|
66 | 29 | "id": "-bQwj_cIK_nO"
|
67 | 30 | },
|
68 | 31 | "source": [
|
69 |
| - "# 1. Setup and Exploration" |
| 32 | + "## 1. Setup and Exploration" |
70 | 33 | ]
|
71 | 34 | },
|
72 | 35 | {
|
|
75 | 38 | "id": "UvCGe8R-IIZj"
|
76 | 39 | },
|
77 | 40 | "source": [
|
78 |
| - "## a. Setup" |
| 41 | + "### a. Setup" |
79 | 42 | ]
|
80 | 43 | },
|
81 | 44 | {
|
|
187 | 150 | "id": "gCJQ1bjD4vE9"
|
188 | 151 | },
|
189 | 152 | "source": [
|
190 |
| - "## b. Exploration" |
| 153 | + "### b. Exploration" |
191 | 154 | ]
|
192 | 155 | },
|
193 | 156 | {
|
|
572 | 535 | "id": "Did9nmVDLMtm"
|
573 | 536 | },
|
574 | 537 | "source": [
|
575 |
| - "# 2. Rule-Based Classifier" |
| 538 | + "## 2. Rule-Based Classifier" |
576 | 539 | ]
|
577 | 540 | },
|
578 | 541 | {
|
|
610 | 573 | "id": "cwtyegP5cUGG"
|
611 | 574 | },
|
612 | 575 | "source": [
|
613 |
| - "## a. Building the Rule-based Classifier" |
| 576 | + "### a. Building the Rule-based Classifier" |
614 | 577 | ]
|
615 | 578 | },
|
616 | 579 | {
|
|
647 | 610 | "id": "9RzHYhFhczrM"
|
648 | 611 | },
|
649 | 612 | "source": [
|
650 |
| - "## b. Evaluating the Rule-based Classifier" |
| 613 | + "### b. Evaluating the Rule-based Classifier" |
651 | 614 | ]
|
652 | 615 | },
|
653 | 616 | {
|
|
766 | 729 | "id": "FpvqZV4BLV0e"
|
767 | 730 | },
|
768 | 731 | "source": [
|
769 |
| - "# 3. NLP Classifier" |
| 732 | + "## 3. NLP Classifier" |
770 | 733 | ]
|
771 | 734 | },
|
772 | 735 | {
|
|
775 | 738 | "id": "BxfOmtXsdy4d"
|
776 | 739 | },
|
777 | 740 | "source": [
|
778 |
| - "## a. Intro to Bag of Words" |
| 741 | + "### a. Intro to Bag of Words" |
779 | 742 | ]
|
780 | 743 | },
|
781 | 744 | {
|
|
844 | 807 | "id": "RMswXCVWk_d0"
|
845 | 808 | },
|
846 | 809 | "source": [
|
847 |
| - "## b. Bag of Words + Logistic Regression" |
| 810 | + "### b. Bag of Words + Logistic Regression" |
848 | 811 | ]
|
849 | 812 | },
|
850 | 813 | {
|
|
1006 | 969 | "id": "iWainC6yoS9Q"
|
1007 | 970 | },
|
1008 | 971 | "source": [
|
1009 |
| - "## c. Bag of Words + Logistic Regression vs Rule-Based" |
| 972 | + "### c. Bag of Words + Logistic Regression vs Rule-Based" |
1010 | 973 | ]
|
1011 | 974 | },
|
1012 | 975 | {
|
|
1036 | 999 | "id": "QE71_svgQ2FK"
|
1037 | 1000 | },
|
1038 | 1001 | "source": [
|
1039 |
| - "## d. Bag of Words + Neural Net" |
| 1002 | + "### d. Bag of Words + Neural Net" |
1040 | 1003 | ]
|
1041 | 1004 | },
|
1042 | 1005 | {
|
|
1083 | 1046 | "id": "Y_rE7Kq9dp4q"
|
1084 | 1047 | },
|
1085 | 1048 | "source": [
|
1086 |
| - "Check out this link for a guide to `MLPClassifier()` and its many props (including `max_iter`, `activation`, `learning_rate`, etc) to optimitze a neural net: https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html" |
| 1049 | + "Check out this link for a guide to `MLPClassifier()` and its many props (including `max_iter`, `activation`, `learning_rate`, etc) to optimize a neural net: https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html" |
1087 | 1050 | ]
|
1088 | 1051 | },
|
1089 | 1052 | {
|
|
1174 | 1137 | "id": "hUqoaiYuLdpD"
|
1175 | 1138 | },
|
1176 | 1139 | "source": [
|
1177 |
| - "# 4. Conclusion" |
| 1140 | + "## 4. Conclusion" |
1178 | 1141 | ]
|
1179 | 1142 | },
|
1180 | 1143 | {
|
|
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