Paper Title

Unlocking Business Insights: Statistical Analysis of Sentiment Data for Strategic Management

Article Identifiers

Registration ID: IJNRD_218202

Published ID: IJNRD2404575

DOI: Click Here to Get

Authors

Abhishek Ganguly , Madhumita Ghosh , Mansi Tiwari , Jeewesh Kumar Mishra , Ritik Sharma

Keywords

Sentiment analysis, Strategic decision making, Key performance indicators, Employee engagement, Social media interaction, Brand perception

Abstract

In an era where data-driven decisions are paramount, the project titled "Unlocking Business Insights: Statistical Analysis of Sentiment Data for Strategic Management" seeks to harness the power of sentiment analysis to provide actionable insights for strategic decision-making in modern enterprises. The project centers on the analysis of sentiment data derived from various sources, including customer feedback, social media interactions, and employee surveys. Through rigorous statistical techniques, this research aims to uncover hidden patterns, trends, and correlations within the sentiment data that can be leveraged by management teams to inform critical business strategies. Analyzing the relationship between sentiment and key performance indicators (KPIs) such as customer satisfaction, employee engagement, and brand perception and developing predictive models to forecast sentiment changes and their impact on business outcomes as well as recommending data-driven strategies for enhancing customer relations, optimizing marketing efforts, are some aspects that every organization wants to thrive in.

How To Cite

"Unlocking Business Insights: Statistical Analysis of Sentiment Data for Strategic Management", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f613-f617, April-2024, Available :https://ijnrd.org/papers/IJNRD2404575.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : f613-f617

Other Publication Details

Paper Reg. ID: IJNRD_218202

Published Paper Id: IJNRD2404575

Downloads: 000121128

Research Area: Management

Country: Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404575.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404575

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area