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0928f44
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Parent(s): b468dba
Upload 1_data_processing.ipynb
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1_data_processing.ipynb
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| 1 |
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{
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| 2 |
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"cells": [
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| 3 |
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{
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| 4 |
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"cell_type": "code",
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| 5 |
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"execution_count": null,
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| 6 |
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"metadata": {},
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| 7 |
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"outputs": [],
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| 8 |
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"source": [
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| 9 |
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"%pip install sentence-transformers==2.0.0"
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| 10 |
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]
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| 11 |
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},
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| 12 |
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{
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| 13 |
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"attachments": {},
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"cell_type": "markdown",
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| 15 |
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"metadata": {},
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| 16 |
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"source": [
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| 17 |
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"https://www.kaggle.com/datasets/dataranch/upwork-1"
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| 18 |
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]
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| 19 |
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},
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| 20 |
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{
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| 21 |
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"cell_type": "markdown",
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| 22 |
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"metadata": {},
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| 23 |
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"source": [
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| 24 |
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"1. Load dataset with pandas"
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| 25 |
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]
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| 26 |
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},
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| 27 |
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{
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| 28 |
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"cell_type": "code",
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"execution_count": 135,
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| 30 |
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"metadata": {},
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| 31 |
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"outputs": [],
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| 32 |
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"source": [
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| 33 |
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"import pandas as pd\n",
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| 34 |
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"\n",
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| 35 |
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"df = pd.read_csv('freelancers.csv')\n",
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| 36 |
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"df = df[['shortName', 'title', 'description', 'location', 'hourlyRate', 'avgFeedbackScore', 'skills']]\n",
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| 37 |
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"df = df.dropna(subset='skills')\n",
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| 38 |
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"df = df.dropna(subset='title')\n",
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| 39 |
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"df['location'] = df['location'].apply(lambda x : eval(x)['state'])\n",
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| 40 |
+
"df['skills'] = df['skills'].apply(lambda x : [x['skill']['name'] for x in eval(x)])\n",
|
| 41 |
+
"df['hourlyRate'] = df['hourlyRate'].apply(lambda x : eval(x)['amount'])"
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| 42 |
+
]
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
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"cell_type": "code",
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| 46 |
+
"execution_count": null,
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| 47 |
+
"metadata": {},
|
| 48 |
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"outputs": [],
|
| 49 |
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"source": [
|
| 50 |
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"def keyword_extractor(total_keywords, str1):\n",
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| 51 |
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" word_list = list()\n",
|
| 52 |
+
" for keyword in total_keywords:\n",
|
| 53 |
+
" for word in str1.split(' '):\n",
|
| 54 |
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" if word == keyword:\n",
|
| 55 |
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" word_list.append(word)\n",
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| 56 |
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" return word_list\n",
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| 57 |
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"total_keywords = df.explode('skills')['skills'].unique().tolist()\n",
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| 58 |
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"\n",
|
| 59 |
+
"skill_keywords = keyword_extractor(total_keywords, 'I want to hire a wordpress')\n",
|
| 60 |
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"df[df['skills'].apply(lambda x: all(val in x for val in skill_keywords))]"
|
| 61 |
+
]
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| 62 |
+
},
|
| 63 |
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{
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| 64 |
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"cell_type": "markdown",
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| 65 |
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"metadata": {},
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| 66 |
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"source": [
|
| 67 |
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"2. Encode 100 samples into vectors (1 column with product text, 1 column with vectors)"
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| 68 |
+
]
|
| 69 |
+
},
|
| 70 |
+
{
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| 71 |
+
"cell_type": "code",
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| 72 |
+
"execution_count": 136,
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| 73 |
+
"metadata": {},
|
| 74 |
+
"outputs": [
|
| 75 |
+
{
|
| 76 |
+
"name": "stderr",
|
| 77 |
+
"output_type": "stream",
|
| 78 |
+
"text": [
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| 79 |
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"100%|██████████| 5815/5815 [12:10<00:00, 7.96it/s]\n"
|
| 80 |
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]
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+
},
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| 82 |
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{
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| 83 |
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"data": {
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| 84 |
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"text/html": [
|
| 85 |
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"<div>\n",
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| 86 |
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"<style scoped>\n",
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| 87 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
| 88 |
+
" vertical-align: middle;\n",
|
| 89 |
+
" }\n",
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| 90 |
+
"\n",
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| 91 |
+
" .dataframe tbody tr th {\n",
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| 92 |
+
" vertical-align: top;\n",
|
| 93 |
+
" }\n",
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| 94 |
+
"\n",
|
| 95 |
+
" .dataframe thead th {\n",
|
| 96 |
+
" text-align: right;\n",
|
| 97 |
+
" }\n",
|
| 98 |
+
"</style>\n",
|
| 99 |
+
"<table border=\"1\" class=\"dataframe\">\n",
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| 100 |
+
" <thead>\n",
|
| 101 |
+
" <tr style=\"text-align: right;\">\n",
|
| 102 |
+
" <th></th>\n",
|
| 103 |
+
" <th>shortName</th>\n",
|
| 104 |
+
" <th>title</th>\n",
|
| 105 |
+
" <th>description</th>\n",
|
| 106 |
+
" <th>location</th>\n",
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| 107 |
+
" <th>hourlyRate</th>\n",
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| 108 |
+
" <th>avgFeedbackScore</th>\n",
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| 109 |
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" <th>skills</th>\n",
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| 110 |
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" <th>text_vector_</th>\n",
|
| 111 |
+
" </tr>\n",
|
| 112 |
+
" </thead>\n",
|
| 113 |
+
" <tbody>\n",
|
| 114 |
+
" <tr>\n",
|
| 115 |
+
" <th>0</th>\n",
|
| 116 |
+
" <td>Jason V.</td>\n",
|
| 117 |
+
" <td>Expert WordPress Developer</td>\n",
|
| 118 |
+
" <td>Hello! Welcome to my profile!\\n\\nMy name is Ja...</td>\n",
|
| 119 |
+
" <td>IL</td>\n",
|
| 120 |
+
" <td>60.00</td>\n",
|
| 121 |
+
" <td>4.925208</td>\n",
|
| 122 |
+
" <td>[wordpress, seo, wp-ecommerce, woocommerce, bo...</td>\n",
|
| 123 |
+
" <td>[0.078628771007061, 0.024731114506721497, -0.0...</td>\n",
|
| 124 |
+
" </tr>\n",
|
| 125 |
+
" <tr>\n",
|
| 126 |
+
" <th>1</th>\n",
|
| 127 |
+
" <td>Miranda S.</td>\n",
|
| 128 |
+
" <td>Social Media Manager</td>\n",
|
| 129 |
+
" <td>I am a Social Media Manager who specializes in...</td>\n",
|
| 130 |
+
" <td>NY</td>\n",
|
| 131 |
+
" <td>20.00</td>\n",
|
| 132 |
+
" <td>4.675676</td>\n",
|
| 133 |
+
" <td>[social-media-content-creation, video-editing,...</td>\n",
|
| 134 |
+
" <td>[0.07423530519008636, -0.022386642172932625, -...</td>\n",
|
| 135 |
+
" </tr>\n",
|
| 136 |
+
" <tr>\n",
|
| 137 |
+
" <th>2</th>\n",
|
| 138 |
+
" <td>Gagan S J.</td>\n",
|
| 139 |
+
" <td>Solution Architect</td>\n",
|
| 140 |
+
" <td>More than 25 years in IT with 20 years in US h...</td>\n",
|
| 141 |
+
" <td>NJ</td>\n",
|
| 142 |
+
" <td>65.00</td>\n",
|
| 143 |
+
" <td>0.000000</td>\n",
|
| 144 |
+
" <td>[oracle-java-ee, spring-framework, hibernate, ...</td>\n",
|
| 145 |
+
" <td>[0.04637446999549866, 0.03554175794124603, -0....</td>\n",
|
| 146 |
+
" </tr>\n",
|
| 147 |
+
" <tr>\n",
|
| 148 |
+
" <th>3</th>\n",
|
| 149 |
+
" <td>Roxana L.</td>\n",
|
| 150 |
+
" <td>Procurement, Logistics and Supply Chain profes...</td>\n",
|
| 151 |
+
" <td>I work FAST - I am COST EFFICIENT - I deliver ...</td>\n",
|
| 152 |
+
" <td>NC</td>\n",
|
| 153 |
+
" <td>70.00</td>\n",
|
| 154 |
+
" <td>4.916684</td>\n",
|
| 155 |
+
" <td>[procurement-function, pharmaceutical-industry...</td>\n",
|
| 156 |
+
" <td>[0.026502298191189766, -0.02052873745560646, -...</td>\n",
|
| 157 |
+
" </tr>\n",
|
| 158 |
+
" <tr>\n",
|
| 159 |
+
" <th>4</th>\n",
|
| 160 |
+
" <td>John M.</td>\n",
|
| 161 |
+
" <td>3d generalist, post production artist and Vide...</td>\n",
|
| 162 |
+
" <td>I am a 3D artist, animator, and designer with ...</td>\n",
|
| 163 |
+
" <td>OK</td>\n",
|
| 164 |
+
" <td>50.00</td>\n",
|
| 165 |
+
" <td>5.000000</td>\n",
|
| 166 |
+
" <td>[animation, motion-graphics, video-editing, vi...</td>\n",
|
| 167 |
+
" <td>[0.05356863886117935, 0.032190944999456406, -0...</td>\n",
|
| 168 |
+
" </tr>\n",
|
| 169 |
+
" <tr>\n",
|
| 170 |
+
" <th>...</th>\n",
|
| 171 |
+
" <td>...</td>\n",
|
| 172 |
+
" <td>...</td>\n",
|
| 173 |
+
" <td>...</td>\n",
|
| 174 |
+
" <td>...</td>\n",
|
| 175 |
+
" <td>...</td>\n",
|
| 176 |
+
" <td>...</td>\n",
|
| 177 |
+
" <td>...</td>\n",
|
| 178 |
+
" <td>...</td>\n",
|
| 179 |
+
" </tr>\n",
|
| 180 |
+
" <tr>\n",
|
| 181 |
+
" <th>5818</th>\n",
|
| 182 |
+
" <td>Megan D.</td>\n",
|
| 183 |
+
" <td>Web Research/Content Curation/Data Entry/Socia...</td>\n",
|
| 184 |
+
" <td>Extremely driven, yet easy-going gal who refus...</td>\n",
|
| 185 |
+
" <td>CA</td>\n",
|
| 186 |
+
" <td>22.37</td>\n",
|
| 187 |
+
" <td>4.574029</td>\n",
|
| 188 |
+
" <td>[data-entry, internet-research, virtual-assist...</td>\n",
|
| 189 |
+
" <td>[0.07812528312206268, -0.018792806193232536, -...</td>\n",
|
| 190 |
+
" </tr>\n",
|
| 191 |
+
" <tr>\n",
|
| 192 |
+
" <th>5819</th>\n",
|
| 193 |
+
" <td>Austin V.</td>\n",
|
| 194 |
+
" <td>Product Manager</td>\n",
|
| 195 |
+
" <td>Experienced in building and growing digital pl...</td>\n",
|
| 196 |
+
" <td>AZ</td>\n",
|
| 197 |
+
" <td>100.00</td>\n",
|
| 198 |
+
" <td>0.000000</td>\n",
|
| 199 |
+
" <td>[atlassian-jira, atlassian-confluence, project...</td>\n",
|
| 200 |
+
" <td>[0.056266412138938904, -0.007661229465156794, ...</td>\n",
|
| 201 |
+
" </tr>\n",
|
| 202 |
+
" <tr>\n",
|
| 203 |
+
" <th>5820</th>\n",
|
| 204 |
+
" <td>Eric M.</td>\n",
|
| 205 |
+
" <td>Web Developer/Designer And Graphic Designer</td>\n",
|
| 206 |
+
" <td>4 YEARS experience in Wordpress / Shopify / D...</td>\n",
|
| 207 |
+
" <td>OH</td>\n",
|
| 208 |
+
" <td>25.00</td>\n",
|
| 209 |
+
" <td>4.451507</td>\n",
|
| 210 |
+
" <td>[html, css, wordpress, shopify, joomla, drupal...</td>\n",
|
| 211 |
+
" <td>[0.048749279230833054, -0.013894445262849331, ...</td>\n",
|
| 212 |
+
" </tr>\n",
|
| 213 |
+
" <tr>\n",
|
| 214 |
+
" <th>5821</th>\n",
|
| 215 |
+
" <td>Kristina A.</td>\n",
|
| 216 |
+
" <td>Voice Over Talent, video editing, video produc...</td>\n",
|
| 217 |
+
" <td>A musician from birth. I studied music educati...</td>\n",
|
| 218 |
+
" <td>VA</td>\n",
|
| 219 |
+
" <td>60.00</td>\n",
|
| 220 |
+
" <td>5.000000</td>\n",
|
| 221 |
+
" <td>[articulate]</td>\n",
|
| 222 |
+
" <td>[0.03207482025027275, -0.027680398896336555, -...</td>\n",
|
| 223 |
+
" </tr>\n",
|
| 224 |
+
" <tr>\n",
|
| 225 |
+
" <th>5822</th>\n",
|
| 226 |
+
" <td>Ashley C.</td>\n",
|
| 227 |
+
" <td>Print and Digital Layout Designer</td>\n",
|
| 228 |
+
" <td>Hello, I'm Ashley, a professional designer and...</td>\n",
|
| 229 |
+
" <td>OR</td>\n",
|
| 230 |
+
" <td>25.00</td>\n",
|
| 231 |
+
" <td>4.951186</td>\n",
|
| 232 |
+
" <td>[print-layout-design, brochure-design, flyer-d...</td>\n",
|
| 233 |
+
" <td>[0.04141489043831825, -0.04500063508749008, -0...</td>\n",
|
| 234 |
+
" </tr>\n",
|
| 235 |
+
" </tbody>\n",
|
| 236 |
+
"</table>\n",
|
| 237 |
+
"<p>5815 rows × 8 columns</p>\n",
|
| 238 |
+
"</div>"
|
| 239 |
+
],
|
| 240 |
+
"text/plain": [
|
| 241 |
+
" shortName title \\\n",
|
| 242 |
+
"0 Jason V. Expert WordPress Developer \n",
|
| 243 |
+
"1 Miranda S. Social Media Manager \n",
|
| 244 |
+
"2 Gagan S J. Solution Architect \n",
|
| 245 |
+
"3 Roxana L. Procurement, Logistics and Supply Chain profes... \n",
|
| 246 |
+
"4 John M. 3d generalist, post production artist and Vide... \n",
|
| 247 |
+
"... ... ... \n",
|
| 248 |
+
"5818 Megan D. Web Research/Content Curation/Data Entry/Socia... \n",
|
| 249 |
+
"5819 Austin V. Product Manager \n",
|
| 250 |
+
"5820 Eric M. Web Developer/Designer And Graphic Designer \n",
|
| 251 |
+
"5821 Kristina A. Voice Over Talent, video editing, video produc... \n",
|
| 252 |
+
"5822 Ashley C. Print and Digital Layout Designer \n",
|
| 253 |
+
"\n",
|
| 254 |
+
" description location hourlyRate \\\n",
|
| 255 |
+
"0 Hello! Welcome to my profile!\\n\\nMy name is Ja... IL 60.00 \n",
|
| 256 |
+
"1 I am a Social Media Manager who specializes in... NY 20.00 \n",
|
| 257 |
+
"2 More than 25 years in IT with 20 years in US h... NJ 65.00 \n",
|
| 258 |
+
"3 I work FAST - I am COST EFFICIENT - I deliver ... NC 70.00 \n",
|
| 259 |
+
"4 I am a 3D artist, animator, and designer with ... OK 50.00 \n",
|
| 260 |
+
"... ... ... ... \n",
|
| 261 |
+
"5818 Extremely driven, yet easy-going gal who refus... CA 22.37 \n",
|
| 262 |
+
"5819 Experienced in building and growing digital pl... AZ 100.00 \n",
|
| 263 |
+
"5820 4 YEARS experience in Wordpress / Shopify / D... OH 25.00 \n",
|
| 264 |
+
"5821 A musician from birth. I studied music educati... VA 60.00 \n",
|
| 265 |
+
"5822 Hello, I'm Ashley, a professional designer and... OR 25.00 \n",
|
| 266 |
+
"\n",
|
| 267 |
+
" avgFeedbackScore skills \\\n",
|
| 268 |
+
"0 4.925208 [wordpress, seo, wp-ecommerce, woocommerce, bo... \n",
|
| 269 |
+
"1 4.675676 [social-media-content-creation, video-editing,... \n",
|
| 270 |
+
"2 0.000000 [oracle-java-ee, spring-framework, hibernate, ... \n",
|
| 271 |
+
"3 4.916684 [procurement-function, pharmaceutical-industry... \n",
|
| 272 |
+
"4 5.000000 [animation, motion-graphics, video-editing, vi... \n",
|
| 273 |
+
"... ... ... \n",
|
| 274 |
+
"5818 4.574029 [data-entry, internet-research, virtual-assist... \n",
|
| 275 |
+
"5819 0.000000 [atlassian-jira, atlassian-confluence, project... \n",
|
| 276 |
+
"5820 4.451507 [html, css, wordpress, shopify, joomla, drupal... \n",
|
| 277 |
+
"5821 5.000000 [articulate] \n",
|
| 278 |
+
"5822 4.951186 [print-layout-design, brochure-design, flyer-d... \n",
|
| 279 |
+
"\n",
|
| 280 |
+
" text_vector_ \n",
|
| 281 |
+
"0 [0.078628771007061, 0.024731114506721497, -0.0... \n",
|
| 282 |
+
"1 [0.07423530519008636, -0.022386642172932625, -... \n",
|
| 283 |
+
"2 [0.04637446999549866, 0.03554175794124603, -0.... \n",
|
| 284 |
+
"3 [0.026502298191189766, -0.02052873745560646, -... \n",
|
| 285 |
+
"4 [0.05356863886117935, 0.032190944999456406, -0... \n",
|
| 286 |
+
"... ... \n",
|
| 287 |
+
"5818 [0.07812528312206268, -0.018792806193232536, -... \n",
|
| 288 |
+
"5819 [0.056266412138938904, -0.007661229465156794, ... \n",
|
| 289 |
+
"5820 [0.048749279230833054, -0.013894445262849331, ... \n",
|
| 290 |
+
"5821 [0.03207482025027275, -0.027680398896336555, -... \n",
|
| 291 |
+
"5822 [0.04141489043831825, -0.04500063508749008, -0... \n",
|
| 292 |
+
"\n",
|
| 293 |
+
"[5815 rows x 8 columns]"
|
| 294 |
+
]
|
| 295 |
+
},
|
| 296 |
+
"execution_count": 136,
|
| 297 |
+
"metadata": {},
|
| 298 |
+
"output_type": "execute_result"
|
| 299 |
+
}
|
| 300 |
+
],
|
| 301 |
+
"source": [
|
| 302 |
+
"import pandas as pd\n",
|
| 303 |
+
"from tqdm import tqdm\n",
|
| 304 |
+
"from sentence_transformers import SentenceTransformer\n",
|
| 305 |
+
"tqdm.pandas()\n",
|
| 306 |
+
"\n",
|
| 307 |
+
"model = SentenceTransformer('all-mpnet-base-v2') #all-MiniLM-L6-v2 #all-mpnet-base-v2\n",
|
| 308 |
+
"\n",
|
| 309 |
+
"#encode df version: for small dataset only\n",
|
| 310 |
+
"df['text_vector_'] = df['title'].progress_apply(lambda x : model.encode(x).tolist())\n",
|
| 311 |
+
"df"
|
| 312 |
+
]
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"cell_type": "code",
|
| 316 |
+
"execution_count": 133,
|
| 317 |
+
"metadata": {},
|
| 318 |
+
"outputs": [],
|
| 319 |
+
"source": [
|
| 320 |
+
"import random\n",
|
| 321 |
+
"\n",
|
| 322 |
+
"df = df.drop_duplicates(subset=['shortName', 'location', 'title', 'hourlyRate', 'avgFeedbackScore', 'description'])\n",
|
| 323 |
+
"df = df.reset_index(drop=True)\n",
|
| 324 |
+
"df['location'] = df['location'].apply(lambda x : random.choice(['New York', 'Chicago', 'Washington']))\n",
|
| 325 |
+
"df.to_parquet('df_encoded.parquet', index=None)"
|
| 326 |
+
]
|
| 327 |
+
}
|
| 328 |
+
],
|
| 329 |
+
"metadata": {
|
| 330 |
+
"kernelspec": {
|
| 331 |
+
"display_name": "Python 3.9.0 64-bit",
|
| 332 |
+
"language": "python",
|
| 333 |
+
"name": "python3"
|
| 334 |
+
},
|
| 335 |
+
"language_info": {
|
| 336 |
+
"codemirror_mode": {
|
| 337 |
+
"name": "ipython",
|
| 338 |
+
"version": 3
|
| 339 |
+
},
|
| 340 |
+
"file_extension": ".py",
|
| 341 |
+
"mimetype": "text/x-python",
|
| 342 |
+
"name": "python",
|
| 343 |
+
"nbconvert_exporter": "python",
|
| 344 |
+
"pygments_lexer": "ipython3",
|
| 345 |
+
"version": "3.9.13"
|
| 346 |
+
},
|
| 347 |
+
"orig_nbformat": 4,
|
| 348 |
+
"vscode": {
|
| 349 |
+
"interpreter": {
|
| 350 |
+
"hash": "fdf377d643bc1cb065454f0ad2ceac75d834452ecf289e7ba92c6b3f59a7cee1"
|
| 351 |
+
}
|
| 352 |
+
}
|
| 353 |
+
},
|
| 354 |
+
"nbformat": 4,
|
| 355 |
+
"nbformat_minor": 2
|
| 356 |
+
}
|