umibench
Testbench for sentiment and factuality in texts. (by seinecle)
awesome-sentiment-analysis
Repository with all what is necessary for sentiment analysis and related areas (by laugustyniak)
| umibench | awesome-sentiment-analysis | |
|---|---|---|
| 1 | 1 | |
| 2 | 525 | |
| - | - | |
| 6.0 | 1.9 | |
| 3 months ago | 6 months ago | |
| Roff | ||
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
umibench
Posts with mentions or reviews of umibench.
We have used some of these posts to build our list of alternatives
and similar projects.
awesome-sentiment-analysis
Posts with mentions or reviews of awesome-sentiment-analysis.
We have used some of these posts to build our list of alternatives
and similar projects.
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What are the ways to handle out of domain inputs for text classification?
Get or generate negative class data. There are adversarial approaches that can improve domain generalization, but it's best to acquire more data from diverse sources. You mentioned you're working on sentiment in one of your comments- there are a ton of open-source sentiment datasets, at least for English, comprising millions of rows of data. Randomly sample from a wide variety of them to hit as many domains as possible. It's also worth including a neutral class.
What are some alternatives?
When comparing umibench and awesome-sentiment-analysis you can also consider the following projects:
awesome-hungarian-nlp - A curated list of NLP resources for Hungarian
nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .