Text classification & Summarization
Hariharamoorthy Theriappan
o NLP
based product for summarizing and extracting entities like company name,
location, date, from news articles. It also involves classification of the news
if it is Mergers, acquisitions, etc., using BiDirectional LSTM model and
Word2vec. A product was built around it with an application to bring human in
the loop. The entities are aggregated to give a analytics platform for users to
view links between different industry sector where investment in technology is
being done (using M&A news and Industry classification)
o extracting
information from Linkedin and other sites that has company profile including
senior management, etc., to correlate potential cross company recruitment
across organizations
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Posted Feb 2, 2024
Scraped google news and reuters news, classified whether it's about M&A and if it's M&A extract the company names, deal values, etc., and visualize summary
