An automated stock recommendation system from stock investment research using domain specific information extraction

Tapjinda, Tayida; Vechpanich, Potsawee; Leelasupakul, Nutchaya; Prompoon, Nakornthip; Patanothai, Chate

doi:10.1109/jcsse.2015.7219765

Cited by 2 publications

(1 citation statement)

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“…Consequently, it's possible that the findings and interpretations won't apply to other datasets. The suggested approach by Tayida Tapjinda, Potsawee Vechpanich, Nutchaya Leelasupakul, Nakornthip Prompoon, and Chate Patanothai [3] uses domain-specific information extraction techniques for stock recommendation. The paper presents experimental results from a real-world dataset of investment research reports, demonstrating the effectiveness of the suggested approach in stock recommendation, The effectiveness of the suggested system may depend on the quality and relevance of the investment research reports employed in the analysis.…”

Section: Literature Surveymentioning

confidence: 99%

Survey Paper on Investment Plan Analysis and Visual Representation

2023

IRJMETS

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An asset or object purchased with the intention of generating income or appreciation is referred to as an investment. Mutual funds are an easy way to start with investment and work for financial stability. Our platform provides a solution to encourage more and more investors to begin investing. We approach this by suggesting the best fund for investors' requirements by comparing various parameters of the fund. It also gives a brief analysis and a visual representation which would help the investor get a glance at the fund and its parameters. The analysis contains a short easily understandable summary of complex parameters related to the fund and visual representation gives a peek at how the fund has performed in past.

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Section: Literature Surveymentioning

confidence: 99%