LIWC (Linguistic Inquiry and Word Count) is a popular psycholinguistic text‑analysis tool. The list below gathers 20 alternative solutions—both open‑source libraries and commercial platforms—that provide lexical, semantic, sentiment, and discourse‑analysis capabilities for researchers, marketers, and developers.
Get targeted exposure with custom position pinning and highlighted placement.
Corpus‑analysis suite with semantic tagging, keyword extraction, and comparative frequency analysis.
Qualitative data analysis software offering text coding, sentiment queries, and integration with linguistic dictionaries.
Powerful CAQDAS tool for coding, network visualisation, and automated text mining with built‑in linguistic queries.
Mixed‑methods analysis platform featuring content analysis, text mining, and statistical reporting.
Cloud AI service that extracts emotions, sentiment, entities, keywords, and linguistic features from text.
Scalable API for entity recognition, sentiment analysis, syntax parsing, and content classification.
Azure Cognitive Service offering sentiment, key‑phrase extraction, language detection, and entity linking.
Enterprise text‑analytics engine providing sentiment, intent, theme extraction, and psycholinguistic scoring.
Advanced analytics suite for text parsing, topic discovery, sentiment scoring, and predictive modeling.
Visual workflow platform with operators for tokenisation, TF‑IDF, sentiment, and linguistic feature extraction.
Research‑grade tool measuring cohesion, readability, and linguistic complexity across multiple languages.
Open‑source Python package that replicates many LIWC categories and adds additional psycholinguistic metrics.
Tool for Automatic Analysis of Lexical Sophistication and Ease, providing lexical frequency and diversity statistics.
Free software for content analysis, offering dictionaries for political, emotional, and ideological coding.
Python library delivering readability scores, lexical diversity, and basic psycholinguistic counts.
Web‑based text‑analysis environment for word clouds, frequency lists, collocates, and trend visualisation.
R package for quantitative text analysis, offering tokenisation, dictionary lookup, and statistical modelling.
R library that integrates text mining with the tidyverse, supporting sentiment lexicons and n‑gram analysis.
Industrial‑strength NLP library with fast tokenisation, POS tagging, dependency parsing, and custom pipeline components.
Comprehensive toolkit for linguistic data processing, offering corpora, tokenisers, and lexical resources.