"* Annotating text with sentiment and emotion using interoperable services\n",
"* Switching to different services (service interoperability)\n",
"* Getting results in different formats (Turtle, XML, text...)\n",
"* Asking for specific emotion models (automatic model conversion)"
"* Asking for specific emotion models (automatic model conversion)\n",
"\n",
"The tutorial is originally published as an interactive [jupyter notebook](https://jupyter.org/) (`ipynb` file) that you can download and run locally.\n",
"The on-line documentation contains a **static** version of the notebook."
]
},
{
@ -27,9 +30,10 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"We will use the demo server at http://senpy.gsi.upm.es abd the requests library.\n",
"We will use the demo server at http://senpy.gsi.upm.es and the requests library.\n",
"\n",
"We will use a variable for our endpoint so you can try these examples on other instances:"
"We will use a variable for our endpoint.\n",
"To try these examples on other instances simply change the value of this variable and re-run the query:"
The originalsourceisavailableat:https://github.com/gsi-upm/senpy/tree/master/docs//{{env.doc2path(env.docname,base=None)}}
To runthecodeexamplesinyourcomputer,youmaydownloadtheoriginalnotebookfromtherepository:https://github.com/gsi-upm/senpy/tree/master/docs/{{env.doc2path(env.docname,base=None)}}