Author: |
Cenit IO |
License: |
no license |
Branch: |
8.0 |
Repository: |
andhit-r/odoo-integrations |
Dependencies: |
base,
and
cenit_base |
Languages: |
HTML (38, 5.2%),
Python (67, 9.2%),
and
XML (625, 85.6%) |
<div class="api-description">
<h2>Authentication</h2>
<p>For all calls, supply your API key. <a href="https://geneea.3scale.net/">Sign up to <em>obtain the key</em></a>.</p>
<p>
Our API supports both <em>unencrypted (HTTP)</em> and <em>encrypted (HTTPS)</em> protocols.
However, for security reasons, we strongly encourage using only the encrypted version.
</p>
<p>The API key should be supplied as either a request parameter <code>user_key</code> or in <code>Authorization</code> header.</p>
<pre><code>Authorization: user_key <YOUR_API_KEY></code></pre>
<h2>API operations</h2>
<p>
All API operations can perform analysis on supplied raw text or on text extracted from a given URL.
Optionally, one can supply additional information which can make the result more precise. An example
of such information would be the language of text or a particular text extractor for URL resources.
</p>
<p>The supported types of analyses are:</p>
<ul>
<li><strong>lemmatization</strong> ⟶
Finds out lemmata (basic forms) of all the words in the document.
</li>
<li><strong>correction</strong> ⟶
Performs correction (diacritization) on all the words in the document.
</li>
<li><strong>topic detection</strong> ⟶
Determines a topic of the document, e.g. finance or sports.
</li>
<li><strong>sentiment analysis</strong> ⟶
Determines a sentiment of the document, i.e. how positive or negative the document is.
</li>
<li><strong>named entity recognition</strong> ⟶
Finds named entities (like person, location, date etc.) mentioned the the document.
</li>
</ul>
<h2>Encoding</h2>
<p>The supplied text is expected to be in UTF-8 encoding, this is especially important for non-english texts.</p>
<h2>Returned values</h2>
<p>The API calls always return objects in serialized JSON format in UTF-8 encoding.</p>
<p>
If any error occurs, the HTTP response code will be in the range <code>4xx</code> (client-side error) or
<code>5xx</code> (server-side error). In this situation, the body of the response will contain information
about the error in JSON format, with <code>exception</code> and <code>message</code> values.
</p>
<h2>URL limitations</h2>
<p>
All the requests are semantically <code>GET</code>. However, for longer texts, you may run into issues
with URL length limit. Therefore, it's possible to always issue a <code>POST</code> request with all
the parameters encoded as a JSON in the request body.
</p>
<p>Example:</p>
<pre><code>
POST /s1/sentiment
Content-Type: application/json
{"text":"There is no harm in being sometimes wrong - especially if one is promptly found out."}
</code></pre>
<p>This is equivalent to <code>GET /s1/sentiment?text=There%20is%20no%20harm...</code></p>
<h2>Request limitations</h2>
<p>
The API has other limitations concerning the size of the HTTP requests. The maximal allowed size of any
POST request body is <em>512 KiB</em>. For request with a URL resource, the maximal allowed number of
extracted characters from each such resource is <em>100,000</em>.
</p>
<h2>More information</h2>
<p>
<a href="https://geneea.atlassian.net/wiki/display/IPD/The+Interpretor+API+Public+Documentation" target="_blank">
The Interpretor Public Documentation
</a>
</p>
</div>
Show more...
Author: |
Cenit IO |
License: |
no license |
Branch: |
8.0 |
Repository: |
andhit-r/odoo-integrations |
Dependencies: |
base,
and
cenit_base |
Languages: |
HTML (38, 20.4%),
Python (67, 36.0%),
and
XML (81, 43.5%) |
The Buildings Database is a shared resource for the building industry. The Database, developed by the U.S. Department of Energy and the National Renewable Energy Laboratory (NREL), is a unique central repository of in-depth information and data on high-performance, green building projects across the United States and abroad.
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