… -based approaches use a dictionary for sentiment analysis. … of hinglish text. In this paper
major approaches applicable to identify the sentiment analysis of hinglish text to be analyzed. …

… In [6], authors used a dictionary-based approach to classify Hinglish text based, they used …
identify the incorrect spellings in the Hinglish text. Their approach is based on TF–IDF model …

… to take in consideration before going for Sentiment Analysis is the kind of the language of …
as “Hinglish”. While doing sentiment analysis one needs resources like Dictionary containing …

… the sentiment analysis of social media (Twitter) codemixed text written in Hinglish. The …
written in English script ie, words from Hindi vocabulary are written using English alphabets. …

… techniques for sentiment analysis of Hinglish text has … Hinglish dictionary, due to the fact
that these words carry impact on sentiment analysis, we have included such words in analysis. …

… the sentiment analysis of a Hinglish (Hindi-English) text corpus. This paper discusses various
approaches such as the Lexicon-Based, Rule-Based … -case text adopts the vocabulary and …

… text understanding. We specifically investigate the use of these embeddings for a sentiment
analysis task for Hinglish … still better due to the increased vocabulary at our disposal. A tweet …

… Author [4] proposed a new model for sentiment analysis of … searched from the Hindi Dictionary
manually created by the … on Hinglish language sentiment analysis Hinglish language is …

… study focuses on “Sentiment classification of Hinglish data,” aiming to develop robust models
to understand sentiments … ment analysis on Bangla text using extended lexicon dictionary …

… As a result, the words sentiment analysis and text analysis developed their paths to … on
Hinglish as a sentiment analysis language. The datasets, dictionaries, and sentiment analysis …