A System for Recognition of Named Entities in Odia Text Corpus Using Machine Learning Algorithm

Das, Bishwa Ranjan; Patnaik, Srikanta; Baboo, Sarada; Dash, Niladri Sekhar

doi:10.1007/978-81-322-2205-7_30

Cited by 2 publications

(1 citation statement)

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“…Business owners in the different districts of Odisha were classified as MO and IO based on their surnames. The “Named Entity Recognition” method has been used to identify rules and context patterns (Das et al., 2015). Indian forenames and surnames have been used in the extant literature for understanding a wide range of information such as origin location, migration, identity, social norms, cultural customs and developing algorithms and establishing ethnic behavior (Veluru et al., 2014).…”

Section: Research Methods and Hypothesesmentioning

confidence: 99%

A comparative assessment of migrant and indigenous entrepreneurs on regional development: A case of Odisha, India

2021

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The paper aims to compare the relative influence of migrant and indigenous entrepreneurs on regional development in the eastern state of Odisha in a developing country like India. The data is based on ownership across 30 districts and ten different sectors for small and medium businesses. It is modeled on economic indicators such as Net District Domestic Product (NDDP) and employment generation at the district level. One‐way ANOVA and multiple linear regression on the data set suggest that ownership pattern influences development indices differently, hence having policy‐level implications based on the goals to be achieved. While migrant entrepreneurs' impact NDDP and employment opportunities positively for main workers, indigenous entrepreneurs from Odisha positively influence employment opportunities at an overall level, and for marginal workers, everything else remains unchanged. Hence, during slowdowns or post‐pandemic recovery situations, when the need of the hour for the local government is immediate employment and livelihood for low‐skill‐based marginal workers, facilitating indigenous owners is more preferred.

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Section: Research Methods and Hypothesesmentioning

confidence: 99%