Title : Multi lingual and code mixed based Approaches for sentiment analysis Using twitter data

Type of Material: Thesis
Title: Multi lingual and code mixed based Approaches for sentiment analysis Using twitter data
Researcher: ARUN KODIREKKA
Guide: A. SRINAGESH
Department: Department of Computer Science and Engineering
Publisher: Acharya Nagarjuna University, Guntur
Place: Guntur
Year: 2024
Language: English
Subject: Computer Science
Computer Science Software Engineering
Engineering and Technology
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2024; Y16CSER001
Fulltext: Shodhganga

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100__|eResearcher|aARUN KODIREKKA
110__|aDepartment of Computer Science and Engineering|0U-0003|dGuntur|bAcharya Nagarjuna University, Guntur|ein
245__|aMulti lingual and code mixed based Approaches for sentiment analysis Using twitter data
260__|aGuntur|c2024|bAcharya Nagarjuna University, Guntur
300__|dCD
502__|d2024|bPhD|oY16CSER001|cDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur
518__|oDate of Award|d2024
518__|oDate of Registration|d2016
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aComputer Science
653__|aComputer Science Software Engineering
653__|aEngineering and Technology
700__|aA. SRINAGESH|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/559136|yShodhganga
905__|afromsg

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