Awesome-sentiment-analysis Alternatives

Similar projects and alternatives to awesome-sentiment-analysis

• awesome-hungarian-nlp

  - 204 3.2 awesome-sentiment-analysis VS awesome-hungarian-nlp

  A curated list of NLP resources for Hungarian

• obsei

  - 1,072 4.8 Python awesome-sentiment-analysis VS 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 .

  

• InfluxDB

  www.influxdata.com

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Sentiment

  - 100 1.7 PHP awesome-sentiment-analysis VS Sentiment

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

  

• afinn

  - 439 2.6 Jupyter Notebook awesome-sentiment-analysis VS afinn

  AFINN sentiment analysis in Python

• nlphose

  - 10 2.7 Jupyter Notebook awesome-sentiment-analysis VS 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 !

• pytorch-sentiment-analysis

  - 4,211 4.0 Jupyter Notebook awesome-sentiment-analysis VS pytorch-sentiment-analysis

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

• Blind-App-Reviews

  - 12 10.0 awesome-sentiment-analysis VS Blind-App-Reviews

  Scraped reviews of over 25 companies from the Blind App ⚡️

• WorkOS

  workos.com

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• financial-news-dataset

  - 211 0.8 awesome-sentiment-analysis VS financial-news-dataset

  Reuters and Bloomberg

• lemmatization-lists

  - 276 0.0 awesome-sentiment-analysis VS lemmatization-lists

  Machine-readable lists of lemma-token pairs in 23 languages.

• n4m-sentiment

  - 10 0.0 Max awesome-sentiment-analysis VS n4m-sentiment

  Sentiment Analysis for your MaxMSP patches - made easy.