Multilanguage version of VADER Sentiment Analysis with automatic language-detection
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Updated
Mar 29, 2023 - Python
Multilanguage version of VADER Sentiment Analysis with automatic language-detection
A system that analyzes the tone of texts and statements.
Using Python and Streamlit to build beautiful and interactive dashboards and web apps. Load, explore, visualize and interact with data, and generate dashboards
A python program that detects emotions (sentiment) associated with texts
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
Analyze the sentiment of a text stored in a string or file and understand the reason why your blogs and posts are not ranking up.
An easy-to-use sentiment analysis tool using TextBlob and a custom GUI. Quickly assess text sentiment as positive, negative, or neutral. Ideal for social media monitoring, customer feedback analysis, and content moderation. Open-source under the MIT License.
The application has the following features: -Whole Text Level Sentiment Analysis -Token Level Sentiment Analysis -Comparative Analysis
Generates AI-driven responses using the Ollama API with the Phi3 mini model from Microsoft. Lightweight implementation without memory for language generation
Sentiment classifier and polarity lexicon creator
Generates AI-driven responses using the Ollama API with the Phi3 mini model from Microsoft. Heavyweight implementation with memory for language generation, featuring remote RAG and Pinecone for persistent memory
Generates AI-driven responses using the Ollama API with the Phi3 mini model from Microsoft. Midweight implementation with session memory for enhanced language generation
Rule-based and statistical methods for creating computer programs that analyze, generate, and understand human language
In this project we will discover how we can predict the sentiment of movie reviews as either positive or negative in Python using the Keras deep learning library
sentiment analysis
NLP (Natural Languaje Processing). Este es un analizador de sentimientos basado en procesamiento de lenguaje natural, usando la libreria NLTK principalmente y el framework Flask
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