awesome-sentiment-analysis VS awesome-hungarian-nlp

Compare awesome-sentiment-analysis vs awesome-hungarian-nlp and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
awesome-sentiment-analysis awesome-hungarian-nlp
1 3
526 207
- -
1.9 3.2
6 months ago 6 months ago
- -
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.

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.
  • What are the ways to handle out of domain inputs for text classification?
    1 project | /r/LanguageTechnology | 13 Mar 2021
    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.

awesome-hungarian-nlp

Posts with mentions or reviews of awesome-hungarian-nlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-24.

What are some alternatives?

When comparing awesome-sentiment-analysis and awesome-hungarian-nlp you can also consider the following projects:

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 .

NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Sentiment - An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

afinn - AFINN sentiment analysis in Python

awesome-computational-neuroscience - A list of schools and researchers in computational neuroscience

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

sematle - NLU service that converts plain English to known and structured data.

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

contract-discovery - Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).

Blind-App-Reviews - Scraped reviews of over 25 companies from the Blind App ⚡️

umibench - Testbench for sentiment and factuality in texts.