You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
senpy/docs/Quickstart-1minute.ipynb

153 lines
3.9 KiB
Plaintext

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Senpy in 1 minute\n",
"\n",
"This mini-tutorial is the first in the series of senpy tutorials. It only shows how to annotate with a service.\n",
"In this first tutorial, we will use the [demo server](http://senpy.gsi.upm.es), which runs some open source plugins for sentiment and emotion analysis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Annotating with senpy is as simple as issuing an HTTP request to the API using your favourite tool.\n",
"This is just an example using curl:"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\r\n",
" \"@context\": \"http://senpy.gsi.upm.es/api/contexts/YXBpL3NlbnRpbWVudDE0MD8j\",\r\n",
" \"@type\": \"Results\",\r\n",
" \"entries\": [\r\n",
" {\r\n",
" \"@id\": \"prefix:\",\r\n",
" \"@type\": \"Entry\",\r\n",
" \"marl:hasOpinion\": [\r\n",
" {\r\n",
" \"@type\": \"Sentiment\",\r\n",
" \"marl:hasPolarity\": \"marl:Positive\",\r\n",
" \"prov:wasGeneratedBy\": \"prefix:Analysis_1554389334.6431913\"\r\n",
" }\r\n",
" ],\r\n",
" \"nif:isString\": \"Senpy is awesome\",\r\n",
" \"onyx:hasEmotionSet\": []\r\n",
" }\r\n",
" ]\r\n",
"}"
]
}
],
"source": [
"!curl \"http://senpy.gsi.upm.es/api/sentiment140\" --data-urlencode \"input=Senpy is awesome\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Congratulations, you've used your first senpy service!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here is the equivalent using the `requests` library:"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"@context\": \"http://senpy.gsi.upm.es/api/contexts/YXBpL3NlbnRpbWVudDE0MD9pbnB1dD1TZW5weStpcythd2Vzb21lIw%3D%3D\",\n",
" \"@type\": \"Results\",\n",
" \"entries\": [\n",
" {\n",
" \"@id\": \"prefix:\",\n",
" \"@type\": \"Entry\",\n",
" \"marl:hasOpinion\": [\n",
" {\n",
" \"@type\": \"Sentiment\",\n",
" \"marl:hasPolarity\": \"marl:Positive\",\n",
" \"prov:wasGeneratedBy\": \"prefix:Analysis_1554389335.9803226\"\n",
" }\n",
" ],\n",
" \"nif:isString\": \"Senpy is awesome\",\n",
" \"onyx:hasEmotionSet\": []\n",
" }\n",
" ]\n",
"}\n"
]
}
],
"source": [
"import requests\n",
"res = requests.get('http://senpy.gsi.upm.es/api/sentiment140',\n",
" params={\"input\": \"Senpy is awesome\",})\n",
"print(res.text)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.3"
},
"toc": {
"colors": {
"hover_highlight": "#DAA520",
"running_highlight": "#FF0000",
"selected_highlight": "#FFD700"
},
"moveMenuLeft": true,
"nav_menu": {
"height": "68px",
"width": "252px"
},
"navigate_menu": true,
"number_sections": true,
"sideBar": true,
"threshold": 4,
"toc_cell": false,
"toc_section_display": "block",
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 1
}