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Ruben van de Ven 2023-12-30 16:03:07 +01:00
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10
Mapping Movements.ipynb
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@ -33,7 +33,7 @@
"id": "aaac4f97",
"metadata": {},
"source": [
"## 1. Embedding the text <a name=\"embedding\"></a>\n",
"## 1. Embedding the text <a id=\"embedding\"></a>\n",
"\n",
"In this first step, the descriptions of the initiatives are embedded using Doc2Vec. That is to say, in a series of steps the text of the descriptions is transformed into a vector, a point in a (latent) multidimensional space: an embedding."
]
@ -184,7 +184,7 @@
"id": "2e6b9b9d",
"metadata": {},
"source": [
"## 2. Similar initiatives <a name=\"similar\"></a>\n",
"## 2. Similar initiatives <a id=\"similar\"></a>\n",
"\n",
"Now that we have a Doc2Vec model, we can use it to calculate some sort of similarity score between the initiative in our little dataset which is based on a mathematical similarity of words ocuring in their descriptions. "
]
@ -303,7 +303,7 @@
"id": "562d4340-e4b0-4366-a917-ba91056c8ced",
"metadata": {},
"source": [
"## 3. Find clusters <a name=\"clusters\"></a>"
"## 3. Find clusters <a id=\"clusters\"></a>"
]
},
{
@ -777,7 +777,7 @@
"id": "fa10d87a-4435-4e8c-bde1-96861d4401ad",
"metadata": {},
"source": [
"## 4. Rendering embedding space: alternative maps of movement <a name=\"rendering\"></a>"
"## 4. Rendering embedding space: alternative maps of movement <a id=\"rendering\"></a>"
]
},
{
@ -894,7 +894,7 @@
"id": "70b3afe8",
"metadata": {},
"source": [
"## 5. A situated map <a name=\"map\"></a>"
"## 5. A situated map <a id=\"map\"></a>"
]
},
{