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openai-cookbook/examples/Clustering.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Clustering\n",
"\n",
"We use a simple k-means algorithm to demonstrate how clustering can be done. Clustering can help discover valuable, hidden groupings within the data. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1000, 1536)"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# If you have not run the \"Obtain_dataset.ipynb\" notebook, you can download the datafile from here: https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\n",
"datafile_path = \"./data/fine_food_reviews_with_embeddings_1k.csv\"\n",
"\n",
"df = pd.read_csv(datafile_path)\n",
"df[\"ada_similarity\"] = df.ada_similarity.apply(eval).apply(np.array)\n",
"matrix = np.vstack(df.ada_similarity.values)\n",
"matrix.shape\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1. Find the clusters using K-means"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We show the simplest use of K-means. You can pick the number of clusters that fits your use case best."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Cluster\n",
"0 4.105691\n",
"1 4.191176\n",
"2 4.215613\n",
"3 4.306590\n",
"Name: Score, dtype: float64"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.cluster import KMeans\n",
"\n",
"n_clusters = 4\n",
"\n",
"kmeans = KMeans(n_clusters=n_clusters, init=\"k-means++\", random_state=42, n_init='auto')\n",
"kmeans.fit(matrix)\n",
"labels = kmeans.labels_\n",
"df[\"Cluster\"] = labels\n",
"\n",
"df.groupby(\"Cluster\").Score.mean().sort_values()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It looks like cluster 2 focused on negative reviews, while cluster 0 and 1 focused on positive reviews."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Clusters identified visualized in language 2d using t-SNE')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.manifold import TSNE\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"\n",
"tsne = TSNE(\n",
" n_components=2, perplexity=15, random_state=42, init=\"random\", learning_rate=200\n",
")\n",
"vis_dims2 = tsne.fit_transform(matrix)\n",
"\n",
"x = [x for x, y in vis_dims2]\n",
"y = [y for x, y in vis_dims2]\n",
"\n",
"for category, color in enumerate([\"purple\", \"green\", \"red\", \"blue\"]):\n",
" xs = np.array(x)[df.Cluster == category]\n",
" ys = np.array(y)[df.Cluster == category]\n",
" plt.scatter(xs, ys, color=color, alpha=0.3)\n",
"\n",
" avg_x = xs.mean()\n",
" avg_y = ys.mean()\n",
"\n",
" plt.scatter(avg_x, avg_y, marker=\"x\", color=color, s=100)\n",
"plt.title(\"Clusters identified visualized in language 2d using t-SNE\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Visualization of clusters in a 2d projection. The red cluster clearly represents negative reviews. The blue cluster seems quite different from the others. Let's see a few samples from each cluster."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2. Text samples in the clusters & naming the clusters\n",
"\n",
"Let's show random samples from each cluster. We'll use davinci-instruct-beta-v3 to name the clusters, based on a random sample of 6 reviews from that cluster."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster 0 Theme: All reviews mention the good flavor of the bars.\n",
"5, Loved these gluten free healthy bars, saved $$ ordering on Amazon: These Kind Bars are so good and healthy & gluten free. My daughter ca\n",
"1, Should advertise coconut as an ingredient more prominently: First, these should be called Mac - Coconut bars, as Coconut is the #2\n",
"5, very good!!: just like the runts<br />great flavor, def worth getting<br />I even o\n",
"----------------------------------------------------------------------------------------------------\n",
"Cluster 1 Theme: The customer reviews have in common that the customers are not happy with the product. The customers do not think that the product is good for their cats, that the gravy is not good, and that the product is not good for their hands.\n",
"2, Messy and apparently undelicious: My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves th\n",
"4, The cats like it: My 7 cats like this food but it is a little yucky for the human. Piece\n",
"5, cant get enough of it!!!: Our lil shih tzu puppy cannot get enough of it. Everytime she sees the\n",
"----------------------------------------------------------------------------------------------------\n",
"Cluster 2 Theme: The reviews have in common that they are all about Fog Chaser Coffee.\n",
"5, Fog Chaser Coffee: This coffee has a full body and a rich taste. The price is far below t\n",
"5, Excellent taste: This is to me a great coffee, once you try it you will enjoy it, this \n",
"4, Good, but not Wolfgang Puck good: Honestly, I have to admit that I expected a little better. That's not \n",
"----------------------------------------------------------------------------------------------------\n",
"Cluster 3 Theme: All reviews mention the product's content.\n",
"5, Wonderful alternative to soda pop: This is a wonderful alternative to soda pop. It's carbonated for thos\n",
"5, So convenient, for so little!: I needed two vanilla beans for the Love Goddess cake that my husbands \n",
"2, bot very cheesy: Got this about a month ago.first of all it smells horrible...it tastes\n",
"----------------------------------------------------------------------------------------------------\n"
]
}
],
"source": [
"import openai\n",
"\n",
"# Reading a review which belong to each group.\n",
"rev_per_cluster = 3\n",
"\n",
"for i in range(n_clusters):\n",
" print(f\"Cluster {i} Theme:\", end=\" \")\n",
"\n",
" reviews = \"\\n\".join(\n",
" df[df.Cluster == i]\n",
" .combined.str.replace(\"Title: \", \"\")\n",
" .str.replace(\"\\n\\nContent: \", \": \")\n",
" .sample(rev_per_cluster, random_state=42)\n",
" .values\n",
" )\n",
" response = openai.Completion.create(\n",
" engine=\"davinci-instruct-beta-v3\",\n",
" prompt=f'What do the following customer reviews have in common?\\n\\nCustomer reviews:\\n\"\"\"\\n{reviews}\\n\"\"\"\\n\\nTheme:',\n",
" temperature=0,\n",
" max_tokens=64,\n",
" top_p=1,\n",
" frequency_penalty=0,\n",
" presence_penalty=0,\n",
" )\n",
" print(response[\"choices\"][0][\"text\"].replace(\"\\n\", \"\"))\n",
"\n",
" sample_cluster_rows = df[df.Cluster == i].sample(rev_per_cluster, random_state=42)\n",
" for j in range(rev_per_cluster):\n",
" print(sample_cluster_rows.Score.values[j], end=\", \")\n",
" print(sample_cluster_rows.Summary.values[j], end=\": \")\n",
" print(sample_cluster_rows.Text.str[:70].values[j])\n",
"\n",
" print(\"-\" * 100)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see based on the average ratings per cluster, that Cluster 2 contains mostly negative reviews. Cluster 0 and 1 contain mostly positive reviews, whilst Cluster 3 appears to contain reviews about dog products."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It's important to note that clusters will not necessarily match what you intend to use them for. A larger amount of clusters will focus on more specific patterns, whereas a small number of clusters will usually focus on largest discrepencies in the data."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "openai-cookbook",
"language": "python",
"name": "openai-cookbook"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.6"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}