At Acadalytics, we specialize in Natural Language Processing (NLP) and Text Analytics to help researchers, academic institutions, and nonprofits extract actionable insights from unstructured text data. From processing research papers to analyzing social media trends, our AI-powered NLP solutions empower you to understand, classify, and generate text with precision.
We prepare raw text for analysis with:
🚀Tokenization & Lemmatization
– Breaking text into structured components.
🚀Stopword Removal & Stemming
– Refining textual data for better analysis.
🚀Named Entity Recognition (NER)
– Identifying people, organizations, and locations in text.
🚀Part-of-Speech Tagging (POS)
-Understanding sentence structure for deeper insights.
Extract meaningful sentiments from text data using:
🚀Social Media & Survey Analysis
– Understanding public opinions and academic feedback.
🚀Emotion & Tone Detection
– Analyzing the mood of large text datasets.
🚀Aspect-Based Sentiment Analysis
– Identifying sentiment around specific topics or products.
Organize and extract themes from vast textual datasets:
🚀 Research Paper Categorization
-Automating classification for academic studies.
🚀 Topic Modeling (LDA, NMF)
– Identifying key themes in large document collections.
🚀 Spam & Fraud Detection
– Filtering out irrelevant or harmful content.