Python module to get Sentiment Rankings for Unicode Emojis.
Project description
emosent-py
emosent-py is a Python utility package to get Sentiment Rankings for Unicode Emojis.
Based on the research by Kralj Novak P, Smailović J, Sluban B, Mozetič I (2015) on Sentiment of Emojis.
Journal Link: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0144296
CSV Data acquired from CLARIN repository, Repository Link: http://hdl.handle.net/11356/1048
This project is inspired by emoji-sentiment, a similar utility written in JavaScript.
Emoji Support
The complete listed of Emojis to Sentiment Ranking supported by this project can be found at Emoji Sentiment Ranking v1.0.
Installation
You can install emosent-py from using pip
:
pip install emosent-py
Usage
Example 1
from emosent import get_emoji_sentiment_rank
get_emoji_sentiment_rank('❤')
Output:
{'unicode_codepoint': '0x2764',
'occurrences': 8050,
'position': 0.746943086,
'negative': 355.0,
'neutral': 1334.0,
'positive': 6361.0,
'unicode_name': 'HEAVY BLACK HEART',
'unicode_block': 'Dingbats',
'sentiment_score': 0.746}
Example 2
from emosent import get_emoji_sentiment_rank
# This function returns the emoji sentiment rank
# mapped to the specified character.
get_emoji_sentiment_rank('😂')
Output:
{'unicode_codepoint': '0x1f602',
'occurrences': 14622,
'position': 0.805100583,
'negative': 3614.0,
'neutral': 4163.0,
'positive': 6845.0,
'unicode_name': 'FACE WITH TEARS OF JOY',
'unicode_block': 'Emoticons',
'sentiment_score': 0.221}
Example 3
from emosent import get_emoji_sentiment_rank_multiple
# Parses the input text character by character and
# extracts emoji sentiment ranks and their respective positions in the text.
get_emoji_sentiment_rank_multiple('well done buddy! 😁👏')
Output:
# Here, the emojis are found at positions 17 and 18 in the specified text.
[{'text_position': 17,
'emoji_sentiment_rank': {'unicode_codepoint': '0x1f601',
'occurrences': 2189,
'position': 0.796151187,
'negative': 278.0,
'neutral': 648.0,
'positive': 1263.0,
'unicode_name': 'GRINNING FACE WITH SMILING EYES',
'unicode_block': 'Emoticons',
'sentiment_score': 0.45}},
{'text_position': 18,
'emoji_sentiment_rank': {'unicode_codepoint': '0x1f44f',
'occurrences': 2336,
'position': 0.787130164,
'negative': 243.0,
'neutral': 634.0,
'positive': 1459.0,
'unicode_name': 'CLAPPING HANDS SIGN',
'unicode_block': 'Miscellaneous Symbols and Pictographs',
'sentiment_score': 0.521}}]
Versioning
We use SemVer for versioning. For the versions available, see the tags on this repository.
License
This project is licensed under the MIT License - see the LICENSE.txt file for more details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file emosent-py-0.1.7.tar.gz
.
File metadata
- Download URL: emosent-py-0.1.7.tar.gz
- Upload date:
- Size: 31.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dfaf0a84ddb396b9bc1f739005bff1ea8b125f610f811b9b54d86cf0f6486475 |
|
MD5 | 5067e77d62ba96154ef7f705acf5c5e2 |
|
BLAKE2b-256 | 1de413cd7faa3dc7ed0f97884e5fc9b237460c4a28babc58f09259e78ed11205 |
File details
Details for the file emosent_py-0.1.7-py3-none-any.whl
.
File metadata
- Download URL: emosent_py-0.1.7-py3-none-any.whl
- Upload date:
- Size: 30.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ebf7622e0b4c5edf084c2c3f2537b756574042784d906934b2ff3cfad3adea9b |
|
MD5 | ec1f22942508a76007db3a0d753064b5 |
|
BLAKE2b-256 | a68728534f58608892f540117ca7158512167598216d0b82963e790a98e8bd50 |