Name: Customer Review Summarization Using Hybrid Analysis of Sentiments (en Inglés)
SKU: 62435272
Price: 80.68 USD
Availability: InStock
Author: Gagandeep Kaur; Latika Pinjarkar; Poorva Agrawal

portada Customer Review Summarization Using Hybrid Analysis of Sentiments (en Inglés)

Customer Review Summarization Using Hybrid Analysis of Sentiments (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Gagandeep Kaur; Latika Pinjarkar; Poorva Agrawal

Idioma

Inglés

N° páginas

132

Encuadernación

Tapa Blanda

ISBN13

9786207805358

Customer Review Summarization Using Hybrid Analysis of Sentiments (en Inglés)

Gagandeep Kaur; Latika Pinjarkar; Poorva Agrawal (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Customer Review Summarization Using Hybrid Analysis of Sentiments (en Inglés)"

The rapid increase in textual content generation from sources like WhatsApp, Instagram, and Amazon produces massive amounts of data daily. Interpreting this data can help business owners understand the public perception of their products or services and make informed decisions. Due to the large volume of text, Natural Language Processing (NLP), a crucial aspect of Sentiment Analysis (SA), is essential for content interpretation. This research focuses on developing a Consumer Review Summarization (CRS) model using NLP techniques and Long Short-Term Memory (LSTM) to summarize data and provide businesses with significant insights into consumer behavior and preferences. The CRS model's effectiveness relies on the SA model and consists of two phases: SADL and CRS. The SADL phase includes review preprocessing, feature extraction, and sentiment classification, while the CRS phase performs automatic summarization based on the SADL outcomes.