A survey on sentiment analysis methods, applications, and challenges

M Wankhade, ACS Rao, C Kulkarni - Artificial Intelligence Review, 2022 - Springer
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

A review on word embedding techniques for text classification

S Selva Birunda, R Kanniga Devi - Innovative Data Communication …, 2021 - Springer
Word embeddings are fundamentally a form of word representation that links the human
understanding of knowledge meaningfully to the understanding of a machine. The …

Sentiment analysis: A survey on design framework, applications and future scopes

M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

A hybrid CNN-LSTM model for improving accuracy of movie reviews sentiment analysis

AU Rehman, AK Malik, B Raza, W Ali - Multimedia Tools and Applications, 2019 - Springer
Nowadays, social media has become a tremendous source of acquiring user's opinions.
With the advancement of technology and sophistication of the internet, a huge amount of …

[PDF][PDF] Analisis Sentimen pada review Aplikasi Grab di Google Play Store Menggunakan Support Vector Machine

R Wahyudi, G Kusumawardhana, A Purwokerto… - Jurnal …, 2021 - academia.edu
Abstrak Pada Google Play Store, pengguna sering membaca review pengguna lain dan
reputasi aplikasi, sebelum mengunduh sebuah aplikasi. Hal ini membuat analisis review …

A hybrid approach of machine learning and lexicons to sentiment analysis: enhanced insights from twitter data of natural disasters

S Mendon, P Dutta, A Behl, S Lessmann - Information Systems Frontiers, 2021 - Springer
The success factor of sentimental analysis lies in identifying the most occurring and relevant
opinions among users relating to the particular topic. In this paper, we develop a framework …

[PDF][PDF] Plant Disease Diagnosis and Image Classification Using Deep Learning.

R Sharma, A Singh, NZ Jhanjhi… - … Materials & Continua, 2022 - cdn.techscience.cn
Indian agriculture is striving to achieve sustainable intensification, the system aiming to
increase agricultural yield per unit area without harming natural resources and the …

Sentimental analysis using Naive Bayes classifier

PPM Surya, B Subbulakshmi - 2019 International conference on …, 2019 - ieeexplore.ieee.org
Sentimental Analysis is mainly meant for classifying the text based on its polarity. Opinion
Mining is one of the major categories in sentimental analysis. Opinion of any user in buying …

Emotion AI-driven sentiment analysis: A survey, future research directions, and open issues

P Chakriswaran, DR Vincent, K Srinivasan, V Sharma… - Applied Sciences, 2019 - mdpi.com
The essential use of natural language processing is to analyze the sentiment of the author
via the context. This sentiment analysis (SA) is said to determine the exactness of the …

Evaluation of sentiment analysis via word embedding and RNN variants for Amazon online reviews

NM Alharbi, NS Alghamdi… - Mathematical …, 2021 - Wiley Online Library
Consumer feedback is highly valuable in business to assess their performance and is also
beneficial to customers as it gives them an idea of what to expect from new products. In this …