The Progression of Natural Language Processing: A Journey from Syntax Parsing to Deep Sentiment Analysis

The field of Natural Language Processing (NLP) has made progress moving beyond basic syntax analysis to delve into complex sentiment understanding and more. This significant evolution has empowered machines not to analyze and comprehend language structures but also to interpret and respond to the emotional nuances and contexts conveyed by humans. The evolution of NLP has seen a series of innovations that have bridged the gap between human language expression and artificial intelligence enabling interactions between humans and computers. This piece explores the milestones in NLP development the technologies driving its progress and its practical applications across various industries. By highlighting NLPs capabilities, such as automating customer service aiding real time decision making and enabling personalized communication this article emphasizes NLPs crucial role, in pushing the boundaries of technology and society forward. Keywords: Natural Language Processing, Syntax Parsing, Sentiment Analysis, Machine Learning, AI Applications

Authors

Publication Details

Journal
Galore International Journal of Applied Sciences and Humanities
Published
2024-11-29
DOI
https://doi.org/10.52403/gijash.20220719
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Progression of Natural Language Processing: A Journey from Syntax Parsing to Deep Sentiment Analysis

Deekshitha Kosaraju
Galore International Journal of Applied Sciences and Humanities
Natural Language Processing Techniques
article

The Progression of Natural Language Processing: A Journey from Syntax Parsing to Deep Sentiment Analysis

Deekshitha Kosaraju
article en

Abstract

The field of Natural Language Processing (NLP) has made progress moving beyond basic syntax analysis to delve into complex sentiment understanding and more. This significant evolution has empowered machines not to analyze and comprehend language structures but also to interpret and respond to the emotional nuances and contexts conveyed by humans. The evolution of NLP has seen a series of innovations that have bridged the gap between human language expression and artificial intelligence enabling interactions between humans and computers. This piece explores the milestones in NLP development the technologies driving its progress and its practical applications across various industries. By highlighting NLPs capabilities, such as automating customer service aiding real time decision making and enabling personalized communication this article emphasizes NLPs crucial role, in pushing the boundaries of technology and society forward. Keywords: Natural Language Processing, Syntax Parsing, Sentiment Analysis, Machine Learning, AI Applications

Galore International Journal of Applied Sciences and HumanitiesVol. 6(3)
Openalex Percentile: Top 80%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Progression of Natural Language Processing: A Journey from Syntax Parsing to Deep Sentiment Analysis — Deekshitha Kosaraju · Galore International Journal of Applied Sciences and Humanities (2024) | TGRS Research Map | TGRS