|
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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