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 | __ | |aARUN KODIREKKA|eResearcher |
110 | __ | |aDepartment of Computer Science and Engineering|bAcharya Nagarjuna University, Guntur|dGuntur|ein|0U-0003 |
245 | __ | |aMulti lingual and code mixed based Approaches for sentiment analysis Using twitter data |
260 | __ | |aGuntur|bAcharya Nagarjuna University, Guntur|c2024 |
300 | __ | |dCD |
502 | __ | |cDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur|d2024|oY16CSER001|bPhD |
518 | __ | |d2024|oDate of Award |
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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