sentiment analysis

16 items

RESEARCHarXiv CS.CL·4/20/2026

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)

This paper introduces the Syntactic & Semantic Context Assessment Summarization (SSAS) framework to address the inconsistency of LLM-based sentiment predictions, a challenge for reliable enterprise analytics. SSAS functions as a sophisticated data pre-processing tool, employing hierarchical classification and iterative summarization to establish high-signal, sentiment-dense context for more stable and reliable business decisions.

LLMs sentiment analysis data preprocessing Enterprise AI

RESEARCHarXiv CS.CL·4/16/2026

A Multi-Model Approach to English-Bangla Sentiment Classification of Government Mobile Banking App Reviews

This study classifies sentiment in English and Bangla reviews of Bangladeshi government mobile banking apps, using a hybrid labeling approach for 5,652 reviews. It found that traditional machine learning models like Random Forest and Linear SVM significantly outperformed fine-tuned XLM-RoBERTa for this specific task.

Multilingual AI machine learning Natural Language Processing sentiment analysis

ARTICLEDEV.to AI·4/18/2026

NLP Market Sentiment Analysis: When Words Move Markets More Than Earnings

This content explores how Natural Language Processing (NLP) quantifies market narratives from diverse sources to create tradeable signals. It details a five-stage NLP system for market sentiment analysis, grounded in mathematics to provide market mood indicators.

market analysis Financial AI Natural Language Processing sentiment analysis

RESEARCHarXiv CS.CL·5d ago

ACAT: A Collaborative Platform for Efficient Aspect-Based Sentiment Dataset Annotation

This paper introduces ACAT, a collaborative web-based platform designed for efficient annotation of Aspect-Based Sentiment Analysis (ABSA) datasets. It features an automated ETL pipeline that aligns collaborative annotations and computes Inter-Annotator Agreement metrics, yielding training-ready datasets for four ABSA workflows.

NLP Dataset Annotation sentiment analysis AI tools

ARTICLEDEV.to AI·7d ago

Mining for Gold: Using AI Sentiment Triage to Identify Your DTC Super-Fans

This article explores how AI sentiment triage can help DTC brands identify and prioritize their most valuable customers, the "super-fans". By classifying support interactions based on advocacy potential, companies can optimize engagement and leverage the high lifetime value (LTV) and referrals of these customers. Tools like OpenAI's API (GPT-4) can automate this analysis, turning high-volume tickets into a growth-driven strategy.

customer service sentiment analysis DTC AI

RESEARCHarXiv CS.CL·21d ago

Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text

This work introduces a novel approach to emotion modeling, shifting from discrete classification to continuous emotion intensity evaluation in text. The authors constructed a dataset of emotional intensity scores and fine-tuned generative language models to output continuous values from 0-100, outperforming classification baselines and demonstrating generalization capabilities.

emotion modeling Finance NLP sentiment analysis

DOCDEV.to AI·5d ago

A surprisingly effective lightweight sentiment analysis approach for product reviews in Python

This content describes a surprisingly effective lightweight lexicon-based approach for sentiment analysis of e-commerce product reviews in Python. The simple technique proved useful for early-stage positive/negative detection, prototyping, and bulk filtering before moving to more advanced transformer-based models.

learning machine learning NLP sentiment analysis

ARTICLEDEV.to AI·4/19/2026

Two Weeks of My News Aggregator: RAG Chat and a Sentiment Dial

The author details updates to their Symfony 8 news aggregator, which now includes a RAG conversational chat for searching its article archive and a sentiment dial to influence ranking. New features incorporate hybrid semantic and keyword search, leveraging pgvector for embeddings and SEAL/Loupe for full-text search.

Vector Databases RAG application development sentiment analysis

RESEARCHDEV.to AI·17d ago

Visual Sentiment Prediction with Deep Convolutional Neural Networks

This paper focuses on visual sentiment prediction using deep convolutional neural networks. It explores advanced methods for analyzing and interpreting emotions in images through AI.

neural networks deep learning computer vision sentiment analysis

ARTICLEDEV.to AI·4/26/2026

I Made Two AI Models Read My Git Commits. It Got Uncomfortably Personal.

The author describes an experiment where two AI models analyzed Git commit messages to determine developer mood, resulting in surprisingly personal insights. The challenge, a blind duel between Gemini 2.5 Flash and a custom AI, revealed the depth of the tools' analysis.

AI models privacy NLP sentiment analysis

ARTICLEDEV.to AI·24d ago

Building TextInsight: High-Performance Readability Analysis on Zo Space

The article introduces TextInsight API, a high-performance tool developed to analyze the readability and sentiment of AI-generated content. It details an optimized approach for syllable counting, a critical component for readability metrics like Flesch-Kincaid, and lists features like sentiment analysis and keyword extraction.

text analysis readability API sentiment analysis

RESEARCHarXiv CS.CL·19d ago

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token

This study explores the integration of Decentraland's Discord community sentiment analysis, using a BERT-based large language model, with multi-modal financial data to predict the MANA token price. Results indicate that a multi-modal model, incorporating sentiment, trading volume, and market capitalization, significantly outperforms a price-only prediction baseline.

cryptocurrency Decentraland Price Prediction sentiment analysis

ARTICLEDEV.to AI·29d ago

Automate Your Support Sentiment Triage: AI for the DTC Founder

DTC founders struggling with numerous support tickets can leverage AI for automated sentiment and intent triage. This approach augments human teams by using low-code AI to instantly analyze incoming tickets for emotional tone and key issues, enabling real-time workflows and appropriate routing.

low-code AI AI automation sentiment analysis customer support

RESEARCHarXiv CS.CL·5/6/2026

Semantically Enriching Investor Micro-blogs for Opinion-Aware Emotion Analysis: A Practical Approach

This research proposes semantically enriching investor micro-blogs to enhance opinion-aware emotion analysis. It augments the StockEmotions dataset with granular opinion graphs using an LLM pipeline and demonstrates improved classification performance with Graph Neural Networks.

Emotion Analysis Graph Neural Networks NLP sentiment analysis

ARTICLEDEV.to AI·4/13/2026

I Built an AI Trading Bot That Watches Trump's Truth Social Posts

The author built an AI trading bot that monitors Donald Trump's Truth Social posts, using Claude for sentiment analysis and Alpaca's API to execute trades. The project aims to test an AI's ability to automatically react to social media's influence on financial market movements.

Truth Social AI trading bot sentiment analysis Financial Markets

ARTICLEDEV.to AI·5/3/2026

I Built a Mood Ring for the Internet in 24 Hours

This article details the experience of building an

web development personal-project Prototyping sentiment analysis