We offer AI consulting services in Natural Language Processing. Contact us at info@practicallinguistics.com if you need help with an NLP project. For example:
- Standardizing text data. Matching personal, company names, addresses, standardizing incoming text data to internal and external standards.
- Comprehensive text analysis. Collecting information, such as social media comments about a business, and breaking them up into parts by topic. Combined with sentiment analysis, this can produce a full report on how users on social media feel about different aspects of your business.
- Information extraction. Automating data extraction, such as names, dates, titles, etc. from documents.
- Sentiment analysis. Scoring text on a sentiment scale (e.g. social media mentions).
- Classifying data. Pulling documents, such as recent news articles, classifying them as relevant or irrelevant to your purposes and sending a news report to you.
Customer testimonials and recommendations
Some previous projects
- Standardizing incoming text data. Classifying incoming healthcare duty shift strings from very variable input to standard output.
- Review topic extraction. Segmenting product and service reviews into sentences and sentence parts, classifying the parts by topic with sentiment analysis.
- Author extraction from letters using machine learning. Complete application with labeling data, feature extraction and algorithm selection with both precision and recall over 95%.
- Information extraction from pdf documents. Extracting information from financial reports. Fields extracted were author, title, companies mentioned, and other relevant information.
- Web-site scraping. Scraping newspaper web-sites to collect their letters to the editor. A total of 1600 letters were collected using the Python Scrapy package.
- Labeling web application. A web application for labeling HTML pages. The application included back-end in Python CGI and HTML for display.
