Search Results for "sentiment" - Page 2
Sort By:
Showing 74 open source projects for "sentiment"
View related business solutions-
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
-
1
Spark NLP
State of the Art Natural Language Processing
Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main... -
2
Python Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. ... -
3
PHP Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. ... -
4
Marvin
A batteries-included library for building AI-powered software
...These functions differ from conventional ones in that they don’t rely on source code, but instead generate their outputs on-demand through AI. With AI functions, you don't have to write complex code for tasks like extracting entities from web pages, scoring sentiment, or categorizing items in your database. Just describe your needs, call the function, and you're done. AI functions work with native data types, so you can seamlessly integrate them into any codebase and chain them into sophisticated pipelines. In addition to AI functions, Marvin also introduces more flexible bots. Bots are highly capable AI assistants that can be given specific instructions and personalities or roles. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
PostgresML
The GPU-powered AI application database
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization... -
6
Stanford CoreNLP
Stanford CoreNLP, a Java suite of core NLP tools
...CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 6 languages, Arabic, Chinese, English, French, German, and Spanish. The centerpiece of CoreNLP is the pipeline. Pipelines take in raw text, run a series of NLP annotators on the text, and produce a final set of annotations. Pipelines produce CoreDocuments, data objects that contain all of the annotation information, accessible with a simple API, and serializable to a Google Protocol Buffer. ... -
7
Crypto-Pump-Bot-Ai-Powered
A cutting-edge AI-driven cryptocurrency trading bot designed to detect
A cutting-edge AI-driven cryptocurrency trading bot designed to detect and respond to market pump-and-dump activities. This bot leverages advanced machine learning models and sophisticated analysis techniques to identify opportunities, analyze market trends, and execute trades with precision. -
8
Universal Sentence Encoder
Encoder of greater-than-word length text trained on a variety of data
...It leverages Transformer and Deep Averaging Network (DAN) architectures to generate embeddings that capture the semantic meaning of sentences. The model is designed for tasks like sentiment analysis, semantic textual similarity, and clustering, and provides high-quality sentence representations in a computationally efficient manner. -
9
Catbird Linux
Linux for content creation, web scraping, coding, and data analysis.
...It is ready for work in Python, Lua, and Go languages, with numerous packages for web scraping or downloading data via API calls. Using Catbird Linux, it is possible to accomplish in depth stock market analysis, track weather trends, follow social media sentiment, or do other tasks in data science. The system is programmer friendly, ready for creating and running the tools you use to measure and understand your world. In addition to search and GPT tools, you have what you need to take notes, write reports or presentations, record and edit audio or video. Under the hood, the system is tuned to be fast and responsive on modest equipment, with a real time kernel and lightweight tiling / tabbing window manager. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
10
Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
...Built with a modular architecture, the system combines Python-based trading algorithms with a JavaScript Telegram bot interface for dynamic monitoring and interaction. The bot is designed to operate continuously, making data-driven decisions based on news sentiment analysis, statistical arbitrage opportunities -
11
This project provides a framework for scanning and executing various trading strategies on the TON blockchain ecosystem. It retrieves market data from multiple decentralized exchanges (DEXs) and applies a range of trading strategies to identify potential opportunities. This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced...
-
12
DeepSeek AIO
Access and use all DeepSeek AI models in one program.
DeepSeek AIO is a simple program that allows you to interact with all DeepSeek large language models in one place. It supports text-based chats, data analysis, code generation, language translation, and more. The program is designed to make it easy for users to use DeepSeek's AI tools for different purposes without switching between multiple platforms. -
13
MyMailIndex
Outlook Add-in for Windows
...Fast identification of emails requiring attention - Read first most important emails - Not missing important email threads 2. Email Thread summary at a glance - 1 click view on who and when participated in the thread - Shows Positive and Negative sentiment per email 3. Collects automatically contacts from all emails in a thread 4. Mass and Out of office emails detection. Auto move to configured subfolder 5. Backlog emails folder management 6. Targeted Fast Email search and Fast reply function -
14
gpt-investor
Experimental investment analysis agent that utilizes the Claude 3 Opus
...The notebook generates relevant ticker symbols, retrieves historical prices, financial statements, balance sheet data, news, analyst ratings, and price targets. It then uses sentiment analysis and industry context to compare companies against peers. The output includes rankings and recommendations based on the combined research signals. The project is educational and should be treated as decision-support material, not financial advice. -
15
Shinkai: Local AI Agents
Shinkai allows you to create advanced AI (local) agents effortlessly
...These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized payments and transactions - Flexible AI Models - Choose from cloud models (GPT-4, Claude) or run locally - Universal Compatibility - Works with Model Context Protocol (MCP) for cross-platform integration - Local Security - Crypto keys and computations stay on your device Shinkai transforms AI from single-task tools into collaborative, autonomous systems that can operate in decentralized networks while maintaining privacy and security. -
16
DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
17
Obsei
Obsei is a low code AI powered automation tool
Obsei is an automated no-code/low-code AI-powered text observation and analysis framework, designed for extracting insights from unstructured text data such as social media, reviews, and logs. -
18
funNLP
Resources, corpora, and tools for Chinese natural language processing
FunNLP is a large, curated collection of resources, corpora, and tools for Chinese natural language processing (NLP). It aggregates datasets, lexicons, wordlists, sentiment dictionaries, knowledge graphs, and pretrained model references, serving as a one-stop resource hub for Chinese NLP practitioners. The repository is organized into categories such as sentiment analysis, text classification, named entity recognition, knowledge graphs, and various lexicons (e.g. sensitive words, emotion dictionaries, stopwords). ... -
19
SentimentAnalysis-Rick&Morty
Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR
...Text mining is a fascinating application of data analysis that extracts relevant information from related writings in different linguistic contexts. And therefore, in natural language processing, sentiment analysis and classification stands out as a key application supported by text mining. Through the extraction of information from textual data, it becomes possible to identify and comprehend the sentiments and emotions conveyed. In this end-of-degree work, we analyze and classify the dialogue of characters in an English-language television series as "Rick and Morty" using Python. ... -
20
Pattern
Web mining module for Python, with tools for scraping
...It includes modules for web scraping and crawling that can retrieve information from sources such as social media platforms, search engines, and online knowledge bases. In addition to data mining features, the library offers natural language processing functionality including part-of-speech tagging, sentiment analysis, and n-gram extraction. The framework also includes machine learning algorithms that support classification, clustering, and vector space modeling for text analysis tasks. Another component of the library provides tools for analyzing and visualizing networks, making it useful for studying relationships between entities in large datasets. -
21
Sentiment dataset of Algerian dialect
Dataset of 11760 sentiment comments written in Algerian dialect
* To cite this dataset refer to https://doi.org/10.31449/inf.v46i6.3340 * This sentiment dataset of Algerian dialect consists of 11760 comments (6111 positive/ 5649 negative comments)) collected from (Facebook, YouTube and Twitter) during Hirak 2019. * Comments concern the Algerian spoken language, written in Arabic and/or Latin characters and/or Arabizi, which could be either Modern Standard Arabic, French or local dialect -
22
Similarity
Text similarity calculation Toolkit for Java
Similarity is a Java toolkit for calculating similarity scores between text strings. It provides a collection of algorithms for word similarity, phrase similarity, sentence similarity, paragraph similarity, semantic comparison, sentiment tendency, and approximate word discovery. The project is designed to teach and apply natural language similarity methods while keeping the architecture practical and customizable. It includes approaches such as edit distance, cosine similarity, Euclidean distance, Jaccard similarity, Jaro distance, Jaro-Winkler distance, Manhattan distance, SimHash with Hamming distance, and Sørensen-Dice coefficient. ... -
23
KoNLPy
Python package for Korean natural language processing
KoNLPy is a natural language processing (NLP) library for the Korean language, offering tokenization, morphological analysis, and named entity recognition. -
24
onnxt5
Summarization, translation, sentiment-analysis, text-generation, etc.
Summarization, translation, sentiment analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in the alpha stage, therefore some functionalities such as beam searches are still in development. The simplest way to get started for generation is to use the default pre-trained version of T5 on ONNX included in the package. -
25
WTF Dial
WTF Dial is an example web application written in Go
WTF Dial is an example Go web application built around a real-time team sentiment dashboard. The app lets team members report how bad or chaotic things currently feel on a shared percentage dial. Beyond the playful concept, the repository is mainly intended as a learning resource for building full Go applications. It demonstrates clean application structure, domain-focused types, multiple storage implementations, HTTP packages, command packages, and documented design decisions. ...
