File size: 27,331 Bytes
939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c 6b72c99 939aa1c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "a386eccf-6880-46e2-91e0-c54836a41b1a",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/lynn/Documents/Twinkl/grant-applications-app/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"import pandas as pd\n",
"from transformers import pipeline\n",
"import time"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "9ac61aaf-9e36-4aef-98d4-e54a4ac6e643",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"960\n",
"Index(['Id', 'Date/Time Requested', 'Giveaway Title', 'Customer Name',\n",
" 'Email Address', 'School Name', 'Postal Address', 'Address Line 2',\n",
" 'Address City', 'Postcode', 'Additional Info', 'Unnamed: 11'],\n",
" dtype='object')\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Id</th>\n",
" <th>Date/Time Requested</th>\n",
" <th>Giveaway Title</th>\n",
" <th>Customer Name</th>\n",
" <th>Email Address</th>\n",
" <th>School Name</th>\n",
" <th>Postal Address</th>\n",
" <th>Address Line 2</th>\n",
" <th>Address City</th>\n",
" <th>Postcode</th>\n",
" <th>Additional Info</th>\n",
" <th>Unnamed: 11</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>304399.0</td>\n",
" <td>01/03/2025 00:52</td>\n",
" <td>March Community Collection</td>\n",
" <td>Susan Bushnell</td>\n",
" <td>susan.bushnell@googlemail.com</td>\n",
" <td>Southfield Junior School</td>\n",
" <td>Shrivenham Road</td>\n",
" <td>Highworth</td>\n",
" <td>Swindon</td>\n",
" <td>SN6 7BZ</td>\n",
" <td>I would love to use it to spread the love of r...</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>305004.0</td>\n",
" <td>02/03/2025 19:52</td>\n",
" <td>March Community Collection</td>\n",
" <td>Sarah Arabestani</td>\n",
" <td>sarah.a@sandringhamnursery.com</td>\n",
" <td>Sandringham Nursery</td>\n",
" <td>16 Sandringham Road</td>\n",
" <td>Penylan</td>\n",
" <td>Cardiff</td>\n",
" <td>CF23 5BJ</td>\n",
" <td>We would like to introduce early years yoga an...</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>305493.0</td>\n",
" <td>05/03/2025 14:34</td>\n",
" <td>March Community Collection</td>\n",
" <td>Rebecca Asker</td>\n",
" <td>mrsrasker@gmail.com</td>\n",
" <td>Newhaven PRU Outreach</td>\n",
" <td>Newhaven Gardens</td>\n",
" <td>NaN</td>\n",
" <td>Greenwich</td>\n",
" <td>SE96HR</td>\n",
" <td>£500 would enable us to set up a small sensor...</td>\n",
" <td></td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Id Date/Time Requested Giveaway Title Customer Name \\\n",
"0 304399.0 01/03/2025 00:52 March Community Collection Susan Bushnell \n",
"1 305004.0 02/03/2025 19:52 March Community Collection Sarah Arabestani \n",
"2 305493.0 05/03/2025 14:34 March Community Collection Rebecca Asker \n",
"\n",
" Email Address School Name \\\n",
"0 susan.bushnell@googlemail.com Southfield Junior School \n",
"1 sarah.a@sandringhamnursery.com Sandringham Nursery \n",
"2 mrsrasker@gmail.com Newhaven PRU Outreach \n",
"\n",
" Postal Address Address Line 2 Address City Postcode \\\n",
"0 Shrivenham Road Highworth Swindon SN6 7BZ \n",
"1 16 Sandringham Road Penylan Cardiff CF23 5BJ \n",
"2 Newhaven Gardens NaN Greenwich SE96HR \n",
"\n",
" Additional Info Unnamed: 11 \n",
"0 I would love to use it to spread the love of r... \n",
"1 We would like to introduce early years yoga an... \n",
"2 £500 would enable us to set up a small sensor... "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('data/feb-march-data.csv')\n",
"\n",
"print(len(df))\n",
"print(df.columns)\n",
"\n",
"df.head(3)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "cdc0e046-0490-45c0-94e2-902ec9a22248",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['id', 'date/time_requested', 'giveaway_title', 'customer_name',\n",
" 'email_address', 'school_name', 'postal_address', 'address_line_2',\n",
" 'address_city', 'postcode', 'additional_info', 'unnamed:_11'],\n",
" dtype='object')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns = df.columns.str.lower().str.replace(' ','_')\n",
"\n",
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "001e0102-f2f6-4812-99ec-6c78d218cb15",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Device set to use mps:0\n"
]
}
],
"source": [
"# Initialize the emotion classification pipeline\n",
"emotion_classifier = pipeline('text-classification', model='SamLowe/roberta-base-go_emotions', top_k=None)"
]
},
{
"cell_type": "markdown",
"id": "de0b70c2-e3a2-430f-988b-cc9a5e3b06c4",
"metadata": {},
"source": [
"Let's th eclassifier for a single application to know what kind of output we can expect"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e6548cb4-e763-4758-9d58-92ac880485b2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>additional_info</th>\n",
" <th>word_count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>I would love to use it to spread the love of r...</td>\n",
" <td>69</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>We would like to introduce early years yoga an...</td>\n",
" <td>46</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>£500 would enable us to set up a small sensor...</td>\n",
" <td>86</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" additional_info word_count\n",
"0 I would love to use it to spread the love of r... 69\n",
"1 We would like to introduce early years yoga an... 46\n",
"2 £500 would enable us to set up a small sensor... 86"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# first let's find a long applciation\n",
"\n",
"df['word_count'] = df['additional_info'].apply(lambda x: len(str(x).split()))\n",
"\n",
"df[['additional_info', 'word_count']].head(3)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "d0e5c20e-ccc4-470a-aafb-7a834d633d17",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Horton Grange Primary School is located in the Great Horton area of Bradford, West Yorkshire, serving a well-established Pakistani community. The school caters to children aged 2 to 11, with a total enrollment of approximately 726 pupils. The student body is diverse, with 91% of students using English as an additional language. Additionally, 21% of students have Special Educational Needs, and 32 students are considered disadvantaged. In terms of academic performance, 66% of pupils meet the expected standards in reading, writing, and mathematics at Key Stage 2, with 11% achieving a higher standard. The school's most recent Ofsted inspection in September 2024 rated the quality of education as 'Good' and highlighted 'Outstanding' ratings for both behaviour and attitudes, and personal development. The school is part of the Exceed Academies Trust and is led by Headteacher Miss Rebecca Marshall. It offers a range of extracurricular activities, including educational outings and experiences that enrich learning. The school's ethos emphasizes creating a safe and happy environment where children can flourish and begin their lifelong learning journey.\n",
"In terms of the money we can get, the school will be able to use this for the following;\n",
"Books for the Library – Purchase diverse and engaging books to encourage reading.\n",
"Stationery and Art Supplies – Stock up on essentials like notebooks, pencils, and craft materials.\n",
"Maths and Science Kits – Hands-on resources to support STEM learning.\n",
"Tablets or Learning Apps – A contribution toward devices or educational subscriptions.\n",
"Headphones for ICT Use – Useful for online learning and accessibility.\n",
"Sensory Equipment – Support students with additional needs by purchasing fidget toys, weighted blankets, or calming tools.\n",
"Outdoor Play Resources – Items like skipping ropes, hula hoops, etc.\n"
]
}
],
"source": [
"test_application = df.loc[df['word_count'].idxmax(), 'additional_info']\n",
"\n",
"print(test_application)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "2f6f9d3d-71c6-4c0c-8aea-5cd17ba81fce",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[[{'label': 'neutral', 'score': 0.5856776237487793},\n",
" {'label': 'approval', 'score': 0.4809421896934509},\n",
" {'label': 'admiration', 'score': 0.08151720464229584},\n",
" {'label': 'realization', 'score': 0.027009719982743263},\n",
" {'label': 'optimism', 'score': 0.018872186541557312},\n",
" {'label': 'caring', 'score': 0.010474747978150845},\n",
" {'label': 'disapproval', 'score': 0.008761710487306118},\n",
" {'label': 'annoyance', 'score': 0.0053910380229353905},\n",
" {'label': 'disappointment', 'score': 0.004287778399884701},\n",
" {'label': 'relief', 'score': 0.004131054040044546},\n",
" {'label': 'pride', 'score': 0.004071239847689867},\n",
" {'label': 'joy', 'score': 0.00316843600012362},\n",
" {'label': 'gratitude', 'score': 0.002936755074188113},\n",
" {'label': 'desire', 'score': 0.0022684938739985228},\n",
" {'label': 'sadness', 'score': 0.0020141159184277058},\n",
" {'label': 'love', 'score': 0.0017706562066450715},\n",
" {'label': 'confusion', 'score': 0.0015989093808457255},\n",
" {'label': 'excitement', 'score': 0.0014885042328387499},\n",
" {'label': 'disgust', 'score': 0.0008889383752830327},\n",
" {'label': 'curiosity', 'score': 0.0008583810413256288},\n",
" {'label': 'anger', 'score': 0.0007978692301549017},\n",
" {'label': 'fear', 'score': 0.0007784575573168695},\n",
" {'label': 'grief', 'score': 0.0005341923679225147},\n",
" {'label': 'remorse', 'score': 0.0005059443647041917},\n",
" {'label': 'nervousness', 'score': 0.0004846185038331896},\n",
" {'label': 'embarrassment', 'score': 0.00036206969525665045},\n",
" {'label': 'surprise', 'score': 0.00034910510294139385},\n",
" {'label': 'amusement', 'score': 0.0003461150045040995}]]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"emotions = emotion_classifier(test_application)\n",
"emotions"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "a6a954f4-ad3d-40f6-84cb-a8b83ed912f5",
"metadata": {},
"outputs": [],
"source": [
"more_intense_example = \"\"\"\"I run outdoor learning at my school, we are in a very deprived area, in a central area of Milton Keynes in the middle of a housing estate, the school has very little. I currently pay for as much as possible. We have now got an allotment area, but really need some help with filling it!! We are trying hard to run outdoor learning sessions, as we have so many children without gardens who live in converted shipping containers and their faces when they tackle ceratin skills and plant and see things grow is beautiful. please please help us!!!\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "9af1aceb-11f5-4755-af2f-de08bd18be6c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[[{'label': 'admiration', 'score': 0.6447672843933105},\n",
" {'label': 'desire', 'score': 0.3310450613498688},\n",
" {'label': 'optimism', 'score': 0.08578585088253021},\n",
" {'label': 'approval', 'score': 0.08077544718980789},\n",
" {'label': 'neutral', 'score': 0.0645425021648407},\n",
" {'label': 'disappointment', 'score': 0.034120526164770126},\n",
" {'label': 'caring', 'score': 0.026644788682460785},\n",
" {'label': 'sadness', 'score': 0.014421308413147926},\n",
" {'label': 'annoyance', 'score': 0.01335776224732399},\n",
" {'label': 'disapproval', 'score': 0.012340354733169079},\n",
" {'label': 'excitement', 'score': 0.008422383107244968},\n",
" {'label': 'realization', 'score': 0.008331868797540665},\n",
" {'label': 'love', 'score': 0.007035400252789259},\n",
" {'label': 'curiosity', 'score': 0.006367261987179518},\n",
" {'label': 'pride', 'score': 0.005947182886302471},\n",
" {'label': 'joy', 'score': 0.004438790027052164},\n",
" {'label': 'gratitude', 'score': 0.0034672864712774754},\n",
" {'label': 'relief', 'score': 0.0027506654150784016},\n",
" {'label': 'disgust', 'score': 0.0023999481927603483},\n",
" {'label': 'confusion', 'score': 0.0022132378071546555},\n",
" {'label': 'grief', 'score': 0.002203976968303323},\n",
" {'label': 'anger', 'score': 0.001952152932062745},\n",
" {'label': 'nervousness', 'score': 0.0017981012351810932},\n",
" {'label': 'surprise', 'score': 0.0016994696343317628},\n",
" {'label': 'fear', 'score': 0.0016026603989303112},\n",
" {'label': 'remorse', 'score': 0.0015317321522161365},\n",
" {'label': 'embarrassment', 'score': 0.0006112103583291173},\n",
" {'label': 'amusement', 'score': 0.0006051507662050426}]]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"emotions = emotion_classifier(more_intense_example)\n",
"\n",
"emotions"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "a7049b70-c14a-4475-a852-7938de44850e",
"metadata": {},
"outputs": [],
"source": [
"def classify_emotions(text):\n",
" \"\"\"\n",
" Classifies the emotions in a given text and returns a dictionary of emotions and their scores.\n",
" \"\"\"\n",
" if isinstance(text, str):\n",
" emotions = emotion_classifier(text)\n",
" # The output is a list of lists of dictionaries. We need to process it.\n",
" if emotions and isinstance(emotions[0], list):\n",
" return {item['label']: item['score'] for item in emotions[0]}\n",
" return {}"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "e348575d-df4c-47d3-a74a-3135d1b467d6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Processing Time: 17.377334117889404 seconds\n"
]
}
],
"source": [
"start_time = time.time()\n",
"\n",
"df['emotion'] = df['additional_info'].map(classify_emotions)\n",
"\n",
"end_time = time.time()\n",
"\n",
"print(f\"Processing Time: {end_time-start_time} seconds\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "09b69317-9052-4232-839b-a3989a9456a4",
"metadata": {},
"outputs": [],
"source": [
"def get_top_emotion(emotion_dict):\n",
" \"\"\"\n",
" Returns the emotion with the highest score from a dictionary of emotions.\n",
" \"\"\"\n",
" if not emotion_dict:\n",
" return None, 0.0\n",
" top_emotion = max(emotion_dict, key=emotion_dict.get)\n",
" return top_emotion, emotion_dict[top_emotion]\n",
"\n",
"# Apply the function to the 'emotions' column\n",
"df[['top_emotion', 'top_emotion_score']] = df['emotion'].apply(get_top_emotion).apply(pd.Series)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "7864a200-28a8-476a-8486-d6cdaa7090e6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"top_emotion\n",
"neutral 319\n",
"desire 212\n",
"approval 88\n",
"love 79\n",
"gratitude 58\n",
"admiration 51\n",
"optimism 36\n",
"disappointment 16\n",
"excitement 15\n",
"caring 12\n",
"sadness 11\n",
"joy 9\n",
"realization 2\n",
"nervousness 1\n",
"confusion 1\n",
"disapproval 1\n",
"Name: count, dtype: int64"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['top_emotion'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "28d7fd5a-1be6-4311-a0bb-937852040690",
"metadata": {},
"outputs": [],
"source": [
"not_list = ['neutral', 'approval', 'love', 'admiration', 'optimism', 'excitement', 'joy']\n",
"\n",
"not_df = df[~df['top_emotion'].isin(not_list)]"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "d9bb5250-4da8-4a57-bf62-2baa0390b6ff",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"363"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(not_df)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "3be2721c-9ce9-4e2c-a99e-e60ebc152891",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"top_emotion\n",
"desire 212\n",
"gratitude 58\n",
"disappointment 16\n",
"caring 12\n",
"sadness 11\n",
"realization 2\n",
"nervousness 1\n",
"confusion 1\n",
"disapproval 1\n",
"Name: count, dtype: int64"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"not_df['top_emotion'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "c88f6008-aac0-47f3-bd9d-d0f9807955c0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"293 We're a small, rural school in deficit as pupil numbers country-wide are dwindling. We need any extra money we can to buy new resources for different subjects e.g. art supplies, Maths equipment, science resources.\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"823 Due to the cohort that we have this year lots of our toys and resources have been broken.\n",
"We would love to be able to replace them for the other children to enjoy. Due to our budget we are not in a good place and as such we have cars with no garage, and dolls houses with no furniture or dolls\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"319 My school is very small. We don't have much in our budget in fact we cannot ask for anything until the new financial year...\n",
"The school is looking rather tired and the toys for the children are mostly broken...\n",
"We don't have much for our SEN children as well... we wish we could have the resources for them to help regulate them but it is just not in the budget...\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"691 We are very lucky to have a forest school area in our school. But unfortunately, our Forest School lead passed away last year. It was a big shock to the school community. For this reason, we are trying to raise some funds to re-instate the wildlife pond that he was passionate about. It was one of the projects he was planning to do before he passed and as a nod to him, we want to complete this. To do this we need to empty to water out of the pond as it’s stagnant. Clean out the pond and re-fill it. There are a few trees that need to come down around the pond as well. We were hoping to install some walkways so help children assess the pond for pond dipping to help with education. This will also help local wildlife and have a positive effect on the fauna and flour of the forest school area. As you can imagine this is a costly project to do and any help would be amazing.\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"739 Unfortunately most of our SEN resources need upgrading as we have a lot more children being diagnosed with additional needs in our school and we need specialist equipment to support them whilst in school.\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"676 Our school is located in a deprived area of Birmingham. We would use the money to buy resources to support the children with their learning. At the moment there are lots of resources/additional experiences which we have found that would support the children however with school budget cuts we are unable to afford them.\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"151 We are in a very deprived area and often have quite high turnover of children meaning that we have low amount of children across the school and classes that are not full. This has an effect on the funding that we get. We are very low in resources so things like: colouring in books, board games for indoor lunch provisions, glue sticks and whiteboard pens, nice paper and card. This would be lovely for our children.\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"139 The school is in a deprived area and every little helps.\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"32 The library is under going a much needed make over, unfortunately the cost is much greater than previously estimated. The £500 would help buy new table and bean bags to boost the comfort of the library significantly. The last time the library was improved was in the late 80s, it is time to reignite library usage within my school.\n",
"\n",
"------------------------------------------------------------\n",
"\n",
"12 Our school library is in desperate need of more cosy seating. We've had a big push to encourage reading throughout school over the last year and the library has become really popular. This does mean we don't have enough comfy seating or books to keep up with demand.\n",
"\n",
"------------------------------------------------------------\n",
"\n"
]
}
],
"source": [
"for idx, record in not_df[not_df['top_emotion'] == 'disappointment'].sample(10).iterrows():\n",
" print(idx, record['additional_info'])\n",
" print('\\n' + '-'*60 + '\\n')"
]
},
{
"cell_type": "markdown",
"id": "c1b12bf5-687a-480f-94a9-1bdcc27e93f3",
"metadata": {},
"source": [
"## Insights\n",
"\n",
"After exploring some applications in this subset of emotions, `sadness`, `caring`, and `disappointment` appear to be the ones that most closely align with with the expectations."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8e0bb77f-09a7-4fa2-a00b-cc20351ff5b6",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|