asent
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (14.8%) to scientific vocabulary
Keywords
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Repository
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
Basic Info
- Host: GitHub
- Owner: KennethEnevoldsen
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://kennethenevoldsen.github.io/asent/
- Size: 54.2 MB
Statistics
- Stars: 118
- Watchers: 3
- Forks: 16
- Open Issues: 0
- Releases: 14
Topics
Metadata Files
README.md
Asent: Fast, flexible and transparent sentiment analysis
Asent is a rule-based sentiment analysis library for Python made using SpaCy. It is inspired by Vader, but uses a more modular ruleset, that allows the user to change e.g. the method for finding negations. Furthermore, it includes visualizers to visualize model predictions, making the model easily interpretable.
Installation
Installing Asent is simple using pip:
pip install asent
There is no reason to update from GitHub as the version on pypi should always be the same of on GitHub.
Simple Example
The following shows a simple example of how you can quickly apply sentiment analysis using asent. For more on using asent see the usage guides.
```python import spacy import asent
create spacy pipeline
nlp = spacy.blank('en') nlp.add_pipe('sentencizer')
add the rule-based sentiment model
nlp.addpipe("asenten_v1")
try an example
text = "I am not very happy, but I am also not especially sad" doc = nlp(text)
print polarity of document, scaled to be between -1, and 1
print(doc._.polarity)
neg=0.0 neu=0.631 pos=0.369 compound=0.7526
```
Naturally, a simple score can be quite unsatisfying, thus Asent implements a series of visualizer to interpret the results: ```python
visualize model prediction
asent.visualize(doc, style="prediction") ```
If we want to know why the model comes the result it does we can use the analysis style:
```python
visualize the analysis performed by the model:
asent.visualize(doc[:5], style="analysis")
```
Where the value in the parenthesis (2.7) indicates the human-rating of the word, while the value outside the parenthesis indicates the value accounting for the negation. Asent also accounts for contrastive conjugations (e.g. but), casing, emoji's and punctuations. For more on how the model works check out the [usage guide].
📖 Documentation
| Documentation | | | -------------------------- | ----------------------------------------------------------------------------------------------------------------------- | | 🔧 Installation | Installation instructions for Asent | | 📚 Usage Guides | Guides and instructions on how to use asent and its features. It also gives short introduction to how the models works. | | 📰 News and changelog | New additions, changes and version history. | | 🎛 Documentation | The detailed reference for Asents's API. Including function documentation |
💬 Where to ask questions
| Type | | | ------------------------------ | ---------------------- | | 🚨 FAQ | FAQ | | 🚨 Bug Reports | GitHub Issue Tracker | | 🎁 Feature Requests & Ideas | GitHub Issue Tracker | | 👩💻 Usage Questions | GitHub Discussions | | 🗯 General Discussion | GitHub Discussions |
Owner
- Name: Kenneth Enevoldsen
- Login: KennethEnevoldsen
- Kind: user
- Location: Aarhus
- Company: Center for Humanities Computing Aarhus
- Website: kennethEnevoldsen.com
- Twitter: KCEnevoldsen
- Repositories: 9
- Profile: https://github.com/KennethEnevoldsen
Interdisciplinary PhD Student on representation learning in Clinical NLP and Genetics at Aarhus University and Interacting Minds Centre
Citation (citation.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Enevoldsen" given-names: "Kenneth" orcid: "https://orcid.org/0000-0001-8733-0966" title: "Asent: Fast, flexible and transparent sentiment analysis" version: 0.4.0 # doi: 10.5281/zenodo.6675315 date-released: 2022-7-06 url: "https://github.com/KennethEnevoldsen/asent"
GitHub Events
Total
- Issues event: 2
- Watch event: 3
- Issue comment event: 2
- Fork event: 1
Last Year
- Issues event: 2
- Watch event: 3
- Issue comment event: 2
- Fork event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| KennethEnevoldsen | k****n@g****m | 164 |
| Kenneth Enevoldsen | k****n@g****m | 122 |
| pre-commit-ci[bot] | 6****] | 58 |
| dependabot[bot] | 4****] | 21 |
| github-actions | g****s@g****m | 15 |
| Martin Bernstorff | m****f@g****m | 3 |
| Tom Aarsen | C****v@g****m | 1 |
| Emil Stenström | e****l@e****e | 1 |
| Andreas Louca | a****s@l****v | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 23
- Total pull requests: 129
- Average time to close issues: 5 months
- Average time to close pull requests: 1 day
- Total issue authors: 10
- Total pull request authors: 5
- Average comments per issue: 2.0
- Average comments per pull request: 0.76
- Merged pull requests: 82
- Bot issues: 0
- Bot pull requests: 116
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: about 1 hour
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 2.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- KennethEnevoldsen (11)
- tomaarsen (3)
- sabatale (1)
- aholovenko (1)
- krumeto (1)
- tsmdt (1)
- HLasse (1)
- S-Hahemi222 (1)
- mirfan899 (1)
- mutigaj1 (1)
Pull Request Authors
- pre-commit-ci[bot] (68)
- dependabot[bot] (54)
- KennethEnevoldsen (11)
- tomaarsen (1)
- alouca (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 2,841 last-month
- Total dependent packages: 1
- Total dependent repositories: 3
- Total versions: 34
- Total maintainers: 1
pypi.org: asent
A python package for flexible and transparent sentiment analysis.
- Homepage: https://github.com/KennethEnevoldsen/asent
- Documentation: https://asent.readthedocs.io/
- License: MIT License Copyright (c) 2021 Kenneth Enevoldsen Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 0.8.3
published about 2 years ago
Rankings
Maintainers (1)
Dependencies
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