Patent ID: 11972218
Assignee: JINAN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 3:
4. The specific target-oriented social media tweet sentiment analysis method as claimed claim 1, before the preprocessing social media tweet data, further comprising:
constructing related dictionaries; wherein the related dictionaries comprise a target key dictionary, a target sentiment dictionary, and a word segmentation dictionary;
wherein constructing the target key dictionary comprises:
selecting a corpus containing the target text, performing word segmentation and parts of speech tagging on the corpus by using an existing word segmentation library, and selecting required parts of speech; and
performing importance statistics on target words in the target text, inputting the target words of which importances each exceed a preset value into the target key dictionary, and establishing a stop word list and deleting invalid words;

wherein constructing the target sentiment dictionary comprises:
combining an existing sentiment dictionary with a manually constructed sentiment dictionary to obtain the target sentiment dictionary; and
obtaining a sentiment value of each sentiment word in the target sentiment dictionary;

wherein constructing the word segmentation dictionary comprises:
combining the target key dictionary, the target sentiment dictionary and the existing word segmentation library to obtain the word segmentation dictionary; and
encoding segmentation words in the word segmentation dictionary to obtain segmentation word vectors.