Aspect Based Hindi Sentiment Analysis through Neural Networks
| Author(s) | : | Geeta Kolkonda, Dhanashri Kulkarni |
| Institution | : | Computer Engineering Dept., D. Y. Patil College Of Engineering, Ambi, Talegaon Dabhade, Pune |
| Published In | : | Vol. 6, Issue 7 — July 2019 |
| Page No. | : | 20-29 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Checking websites for online reviews and opinions online before buying a product or visiting a place hasbecome quite common now-a-days. Millions of people express their opinions on social media networking sites, blogs andreview sites on various topics including movies, restaurants, products etc. These websites provide myriad amount ofinformation that are not only useful to the creators of these entities, but also to their customers and rivals. Analyzing andcategorizing the sentiments expressed around the aspects present in these opinions, instead of overall polarity, havebecome a critical factor to make decisive recommendations. Consider the sentence,“ एक क , |”In this sentence, the customer has expressed his opinion about a mobile phone for „battery‟ aspect with a positivesentiment but for „processor speed‟ aspect the sentiment expressed is negative. A user may set his priority on certainaspects or features and decide to buy the product. Hence, it becomes important to provide a granular level ofrecommendation. Our project aims at improving ABSA model on Hindi reviews with latest technologies of Deep NeuralNetworks.
Geeta Kolkonda, Dhanashri Kulkarni, “Aspect Based Hindi Sentiment Analysis through Neural Networks”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 6, Issue 7, pp. 20-29, July 2019.
